An Argumentative Essay on Corporate Social Responsibility

1. Corporate social responsibility is an ill-defined term, so any company can set its own definition. I see corporate social responsibility as encompassing a wide number of things, generally relating to citizenship and being a beneficial member of the community. I do not particularly subscribe to the Milton Friedman view of CSR (1970) that companies only have a duty to their shareholders. They have a duty to all stakeholders, even oblique ones like the environment. Corporations can become more socially responsible to taking a broader stakeholder view of their responsibilities. Some corporations do have a positive impact on society. Walmart in its quest to become more efficient has become a leader in renewable resources. It also uses its wealth for charitable giving, for example pledging $100 million for womens empowerment programs around the world. The giant Tata conglomerate is another company widely known for its charitable work. Some companies have not been responsible. BP is a classic example, as their business practices were fairly appalling even before Deepwater Horizon. Few oil and gas companies can be said to have clean hands. I feel that corporations should be punished in the same way as criminals. If a person commits a criminal act on behalf of the corporation and a person is always responsible - they should face criminal prosecution. Executives should also face trial for things like Deepwater Horizon, since the organizational culture was a majorShow MoreRelatedThe Definition Of Professional Ethics1251 Words   |  6 Pagesrelation to what is right and what is wrong. There are many general aspects regarding professional ethics such as, honesty, accountability, respectfulness, loyalty, confidentiality and obedience to the law. Corporate social responsibility is a form of social ethics. The definition of this responsibility is that it is management’s duty to ‘make choices and take actions that will contribute to the welfare and interests of society as well as the organisation’ (Samson and Daft, 2015, pp. 176). When it comesRead MoreEnglish Case Law on Piercing the Corporate Veil1342 Wo rds   |  6 PagesPiercing the corporate veil is a term that is commonly used in corporate law to refer to cases in which the limited liability of the Corporation becomes unlimited to be able to impose certain responsibilities either to the particular Corporation or to the shareholders of a corporation. The idea of piercing the corporate veil has been the answer to social problems that come form the principle that corporations have limited liability. When studying limited liability in the United Kingdom it can beRead MoreThe Japanese Traditional Society Essay1715 Words   |  7 PagesCultures can be differentiated on the basis of the relationship between communication in that culture and the interactants’ depending on the context in which it is presented (Adair et al, 2009). This essay will evaluate USA and Japanese business culture and the resulting behaviours. Using the set of bipolar scales by Hofstede (1993) and Trompenaars and Turners (1998) it will observe to varying degrees how business culture is closely tied to national culture using a set of bipolar scales, while HofstedeRead MoreDebate the proposition that employers are more concerned with controlling employee behaviour than they are with eliciting employee commitment.4691 Words   |  19 Pagescommitment with job design is when employees and employers discuss characteristics of the position that would suit the employee’s capabilities which in turn increases their motivation as the employers are permitting staff an input into designing their responsibilities in the job. However, employers have the opportunity to use job design to influence control of over their staff with the use techniques such as job expansion and job rotation with allow them to amend or add additional workload to their job whichRead MoreNature, History, and Curriculum Overview of the Subject English2699 Words   |  11 Pagesoutdated and ineffective at really introducing students to the myriad of complexities w ithin the subject as a whole. Previous generations had focused on more narrow models of teaching English that focus more on the outcome rather than the process. Many corporate models of public education focus more on standardized testing than actually getting the students engaged with the literature they are being exposed to. Essentially teachers are forced into shifting their primary focus of attention from teachingRead MoreManagement: Social Responsibility and Page Ref19403 Words   |  78 Pages Page Ref: 30 AACSB: Globalizations Objective: 2.1 5) The U.S. economy has been the primary model for economic systems around the world. Answer: Explanation: The approach used by the U.S. economic system that features open markets, corporate ownership, mass production techniques, and hierarchical organization structures has been emulated around the world. Many nations have prospered using this approach or a modified version of the approach. Diff: 2 Page Ref: 31 AACSB: Globalizations Read MoreExample Research: Critical Discourse Analysis9514 Words   |  39 PagesCritical discourse analysis (CDA) is a type of discourse analytical research that primarily studies the way social power abuse, dominance, and inequality are enacted, reproduced, and resisted by text and talk in the social and political context. With such dissident research, critical discourse analysts take explicit position, and thus want to understand, expose, and ultimately resist social inequality. Some of the tenets of CDA can already be found in the critical theory of the Frankfurt School beforeRead MoreProject Managment Case Studies214937 Words   |  860 Pagesleadership may be necessary such that the barriers to change can be overcome quickly. These barriers can exist at all levels of management as well as at the worker level. The changes may require that workers give up their comfort zones and seek out new social groups. tive Lakes Automotive is a Detroit-based tier-one supplier to the auto industry. Between 1995 and 1999, Lakes Automotive installed a project management methodology based on nine life-cycle phases. All 60,000 employees worldwide acceptedRead MoreLibrary Management204752 Words   |  820 Pages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432 Accountability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434 19—Fiscal Responsibility and Control . . . . . . . . . . . . . . 437 Budgets—Planning and Evaluation Tools. . . . . . . . . . . 438 The Funding Process . . . . . . . . . . . . . . . . . . . . . . . . . . 440 Fund-Raising Efforts . . . . . . . . . . . . . . . . . . . Read MoreStephen P. Robbins Timothy A. Judge (2011) Organizational Behaviour 15th Edition New Jersey: Prentice Hall393164 Words   |  1573 PagesManagement Skills 8 †¢ Effective versus Suc cessful Managerial Activities 8 †¢ A Review of the Manager’s Job 9 Enter Organizational Behavior 10 Complementing Intuition with Systematic Study 11 Disciplines That Contribute to the OB Field 13 Psychology 14 †¢ Social Psychology 14 †¢ Sociology 14 †¢ Anthropology 14 There Are Few Absolutes in OB 14 Challenges and Opportunities for OB 15 Responding to Economic Pressures 15 †¢ Responding to Globalization 16 †¢ Managing Workforce Diversity 18 †¢ Improving Customer Service

From Unilineal Cultural Evolution to Functionalism Essay

From Unilineal Cultural Evolution to Functionalism Several anthropological theories emerged during the early twentieth century. Arguably, the most important of these was Functionalism. Bronislaw Malinowski was a prominent anthropologist in Britain during that time and had great influence on the development of this theory. Malinowski suggested that individuals have certain physiological needs and that cultures develop to meet those needs. Malinowski saw those needs as being nutrition, reproduction, shelter, and protection from enemies. He also proposed that there were other basic, culturally derived needs and he saw these as being economics, social control, education, and political organization Malinowski proposed that the culture†¦show more content†¦She described cultures as being of four types Apollonian, Dionysian, Paranoid and Meglomaniac. Benedict used these types to characterize various cultures that she studied. The most famous exponent of the school of Culture and Personality is Margaret Mead. Margaret Mead was a student of Franz Boas and Ruth Benedict. Though in the course of her career she would eclipse the fame of her tutors, particularly the latter. Mead’s first field study was on the Pacific Island of Samoa, where she studied the lives of the adolescent girls in that culture. From this field study, she produced her famous work Coming of Age in Samoa (1949). In this work, she investigated the relationship between culture and personality by comparing the lives of adolescents in Samoa to those of American youths. She concentrated particularly on the sexual experiences of the girls she studied in Samoan culture; drawing the conclusion that the sexually permissive atmosphere of Samoan culture produced healthier less â€Å"stormy† adolescents than that of her own more repressed American culture. The theories of Culture and Personality and Functionalism addressed and rebutted many of the more quaint aspects of the Evolutionary and Diffusionist theories of the nineteenth century. The methodology developed by these pioneers is still in use by anthropologists today. That is, participant observation and a complete involvement in the culture and language of the people beingShow MoreRelatedFieldwork in Various Anthropological Schools of Thought Essay1167 Words   |  5 PagesCultural anthropology is a social science that studies the origins and development of human societies (History World International, 2001). Many theories to explain cultural variations among humans have emerged. As a result, numerous anthropological schools of thought have been established based on these theories since the nineteenth century. These schools of thought encompass the dominant beliefs about culture during a time period and are constantly changing as new knowledge is acquired. As schoolsRead MoreS ummary of the Development of Anthropological Theory from the XIX century to the Present XXI century2646 Words   |  11 Pagesthoughts and theories evolving throughout time. The purpose of this essay is to summarize the development of anthropological theory from the late nineteenth century to the present twenty-first century. The concept of Degeneratism was a widely popular theory spanning from the Renaissance to the early nineteenth century. Degeneratism is â€Å"a biblical based explanation of cultural diversity†¦ [where] prior to the destruction of the Tower of Babel, all people belonged to God. When God destroyed the Tower, [it]Read MoreGender Inequality In Society1808 Words   |  8 Pagesand answer the question to the problem of gender inequality. Only through history can we see where the true problem started and how to successfully solve it. Historicism supports the claim that gender inequality exists within cultures, however, functionalism suggests that gender roles exist to maximize social efficiency. It sees society as a complex system and creates a division of labor through gender norms to suggest women are homemakers while men are the providers. While the functionalist perspective

Fuzzy Logic Free Essays

Overview The reasoning in fuzzy logic is similar to human reasoning. It allows for approximate values and inferences as well as incomplete or ambiguous data (fuzzy data) as opposed to only relying on crisp data (binary yes/no choices). Fuzzy logic is able to process incomplete data and provide approximate solutions to problems other methods find difficult to solve. We will write a custom essay sample on Fuzzy Logic or any similar topic only for you Order Now Terminology used in fuzzy logic not used in other methods are: very high, increasing, somewhat decreased, reasonable and very low. [4] [edit]Degrees of truth Fuzzy logic and probabilistic logic are mathematically similar – both have truth values ranging between 0 and 1 – but conceptually distinct, due to different interpretations—see interpretations of probability theory. Fuzzy logic corresponds to â€Å"degrees of truth†, while probabilistic logic corresponds to â€Å"probability, likelihood†; as these differ, fuzzy logic and probabilistic logic yield different models of the same real-world situations. Both degrees of truth and probabilities range between 0 and 1 and hence may seem similar at first. For example, let a 100 ml glass contain 30 ml of water. Then we may consider two concepts: Empty and Full. The meaning of each of them can be represented by a certain fuzzy set. Then one might define the glass as being 0. 7 empty and 0. 3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. It is essential to realize that fuzzy logic uses truth degrees as a mathematical model of the vagueness phenomenon while probability is a mathematical model of ignorance. edit]Applying truth values A basic application might characterize subranges of a continuous variable. For instance, a temperature measurement for anti-lock brakes might have several separate membership functions defining particular temperature ranges needed to control the brakes properly. Each function maps the same temperature value to a truth value in the 0 to 1 range. These truth values can then be used to determine how the brakes should be controlled. Fuzzy logic temperature In this image, the meaning of the expressions cold, warm, and hot is represented by functions mapping a temperature scale. A point on that scale has three â€Å"truth values†Ã¢â‚¬â€one for each of the three functions. The vertical line in the image represents a particular temperature that the three arrows (truth values) gauge. Since the red arrow points to zero, this temperature may be interpreted as â€Å"not hot†. The orange arrow (pointing at 0. 2) may describe it as â€Å"slightly warm† and the blue arrow (pointing at 0. 8) â€Å"fairly cold†. [edit]Linguistic variables While variables in mathematics usually take numerical values, in fuzzy logic applications, the non-numeric linguistic variables are often used to facilitate the expression of rules and facts. 5] A linguistic variable such as age may have a value such as young or its antonym old. However, the great utility of linguistic variables is that they can be modified via linguistic hedges applied to primary terms. The linguistic hedges can be associated with certain functions. [edit]Example Fuzzy set theory defines fuzzy operators on fuzzy sets. The problem in applying this is that the appropriate fuzzy operator may not be known. For this reason, fuzzy logic usually uses IF-THEN rules, or constructs that are equivalent, such as fuzzy associative matrices. Rules are usually expressed in the form: IF variable IS property THEN action For example, a simple temperature regulator that uses a fan might look like this: IF temperature IS very cold THEN stop fan IF temperature IS cold THEN turn down fan IF temperature IS normal THEN maintain level IF temperature IS hot THEN speed up fan There is no â€Å"ELSE† – all of the rules are evaluated, because the temperature might be â€Å"cold† and â€Å"normal† at the same time to different degrees. The AND, OR, and NOT operators of boolean logic exist in fuzzy logic, usually defined as the minimum, maximum, and omplement; when they are defined this way, they are called the Zadeh operators. So for the fuzzy variables x and y: NOT x = (1 – truth(x)) x AND y = minimum(truth(x), truth(y)) x OR y = maximum(truth(x), truth(y)) There are also other operators, more linguistic in nature, called hedges that can be applied. These are generally adverbs such as â€Å"very†, or â€Å"somewhat†, which modify the meaning of a set using a mathematical formula. [edit]Logical analysis In mathematical logic, there are several formal systems of â€Å"fuzzy logic†; most of them belong among so-called t-norm fuzzy logics. edit]Propositional fuzzy logics The most important propositional fuzzy logics are: Monoidal t-norm-based propositional fuzzy logic MTL is an axiomatization of logic where conjunction is defined by a left continuous t-norm, and implication is defined as the residuum of the t-norm. Its models correspond to MTL-algebras that are prelinear commutative bounded integral residuated lattices. Basic propositional fuzzy logic BL is an extension of MTL logic where conjunction is defined by a continuous t-norm, and implication is also defined as the residuum of the t-norm. Its models correspond to BL-algebras. Lukasiewicz fuzzy logic is the extension of basic fuzzy logic BL where standard conjunction is the Lukasiewicz t-norm. It has the axioms of basic fuzzy logic plus an axiom of double negation, and its models correspond to MV-algebras. Godel fuzzy logic is the extension of basic fuzzy logic BL where conjunction is Godel t-norm. It has the axioms of BL plus an axiom of idempotence of conjunction, and its models are called G-algebras. Product fuzzy logic is the extension of basic fuzzy logic BL where conjunction is product t-norm. It has the axioms of BL plus another axiom for cancellativity of conjunction, and its models are called product algebras. Fuzzy logic with evaluated syntax (sometimes also called Pavelka’s logic), denoted by EVL, is a further generalization of mathematical fuzzy logic. While the above kinds of fuzzy logic have traditional syntax and many-valued semantics, in EVL is evaluated also syntax. This means that each formula has an evaluation. Axiomatization of EVL stems from Lukasziewicz fuzzy logic. A generalization of classical Godel completeness theorem is provable in EVL. edit]Predicate fuzzy logics These extend the above-mentioned fuzzy logics by adding universal and existential quantifiers in a manner similar to the way that predicate logic is created from propositional logic. The semantics of the universal (resp. existential) quantifier in t-norm fuzzy logics is the infimum (resp. supremum) of the truth degrees of the instances of the quantified subformula. [edit]Decidability i ssues for fuzzy logic The notions of a â€Å"decidable subset† and â€Å"recursively enumerable subset† are basic ones for classical mathematics and classical logic. Then, the question of a suitable extension of such concepts to fuzzy set theory arises. A first proposal in such a direction was made by E. S. Santos by the notions of fuzzy Turing machine, Markov normal fuzzy algorithm and fuzzy program (see Santos 1970). Successively, L. Biacino and G. Gerla showed that such a definition is not adequate and therefore proposed the following one. U denotes the set of rational numbers in [0,1]. A fuzzy subset s : S [0,1] of a set S is recursively enumerable if a recursive map h : S? N U exists such that, for every x in S, the function h(x,n) is increasing with respect to n and s(x) = lim h(x,n). We say that s is decidable if both s and its complement –s are recursively enumerable. An extension of such a theory to the general case of the L-subsets is proposed in Gerla 2006. The proposed definitions are well related with fuzzy logic. Indeed, the following theorem holds true (provided that the deduction apparatus of the fuzzy logic satisfies some obvious effectiveness property). Theorem. Any axiomatizable fuzzy theory is recursively enumerable. In particular, the fuzzy set of logically true formulas is recursively enumerable in spite of the fact that the crisp set of valid formulas is not recursively enumerable, in general. Moreover, any axiomatizable and complete theory is decidable. It is an open question to give supports for a Church thesis for fuzzy logic claiming that the proposed notion of recursive enumerability for fuzzy subsets is the adequate one. To this aim, further investigations on the notions of fuzzy grammar and fuzzy Turing machine should be necessary (see for example Wiedermann’s paper). Another open uestion is to start from this notion to find an extension of Godel’s theorems to fuzzy logic. [edit]Fuzzy databases Once fuzzy relations are defined, it is possible to develop fuzzy relational databases. The first fuzzy relational database, FRDB, appeared in Maria Zemankova’s dissertation. Later, some other models arose like the Buckles-Petry model, the Prade-Testemale Model, the Umano-Fuk ami model or the GEFRED model by J. M. Medina, M. A. Vila et al. In the context of fuzzy databases, some fuzzy querying languages have been defined, highlighting the SQLf by P. Bosc et al. and the FSQL by J. Galindo et al. These languages define some structures in order to include fuzzy aspects in the SQL statements, like fuzzy conditions, fuzzy comparators, fuzzy constants, fuzzy constraints, fuzzy thresholds, linguistic labels and so on. [edit]Comparison to probability Fuzzy logic and probability are different ways of expressing uncertainty. While both fuzzy logic and probability theory can be used to represent subjective belief, fuzzy set theory uses the concept of fuzzy set membership (i. e. , how much a variable is in a set), and probability theory uses the concept of subjective probability (i. . , how probable do I think that a variable is in a set). While this distinction is mostly philosophical, the fuzzy-logic-derived possibility measure is inherently different from the probability measure, hence they are not directly equivalent. However, many statisticians are persuaded by the work of Bruno de Finetti that only one kind of mathematical uncertainty is needed and thus fuzzy logic is unnecessary. On the other hand, Bart Kosko argues[citation needed] that probability is a subtheory of fuzzy logic, as probability only handles one kind of uncertainty. He also claims[citation needed] to have proven a derivation of Bayes’ theorem from the concept of fuzzy subsethood. Lotfi Zadeh argues that fuzzy logic is different in character from probability, and is not a replacement for it. He fuzzified probability to fuzzy probability and also generalized it to what is called possibility theory. (cf. [6]) [edit]See also Logic portal Thinking portal Artificial intelligence Artificial neural network Defuzzification Dynamic logic Expert system False dilemma Fuzzy architectural spatial analysis Fuzzy associative matrix Fuzzy classification Fuzzy concept Fuzzy Control Language Fuzzy Control System Fuzzy electronics Fuzzy mathematics Fuzzy set Fuzzy subalgebra FuzzyCLIPS expert system Machine learning Multi-valued logic Neuro-fuzzy Paradox of the heap Rough set Type-2 fuzzy sets and systems Vagueness Interval finite element Noise-based logic [edit]Notes ^ Novak, V. , Perfilieva, I. and Mockor, J. (1999) Mathematical principles of fuzzy logic Dodrecht: Kluwer Academic. ISBN 0-7923-8595-0 ^ â€Å"Fuzzy Logic†. Stanford Encyclopedia of Philosophy. Stanford University. 2006-07-23. Retrieved 2008-09-29. ^ Zadeh, L. A. (1965). Fuzzy sets†, Information and Control 8 (3): 338–353. ^ James A. O’Brien; George M. Marakas (2011). Management Information Systesm (10th ed. ). New York: McGraw Hill. pp. 431. ^ Zadeh, L. A. et al. 1996 Fuzzy Sets, Fuzzy Logic, Fuzzy Systems, World Scientific Press, ISBN 9810224214 ^ Novak, V. Are fuzzy sets a reasonable tool for modeling vague phenomena? , Fuzzy Sets and System s 156 (2005) 341—348. [edit]Bibliography Von Altrock, Constantin (1995). Fuzzy logic and NeuroFuzzy applications explained. Upper Saddle River, NJ: Prentice Hall PTR. ISBN 0-13-368465-2. Arabacioglu, B. C. (2010). â€Å"Using fuzzy inference system for architectural space analysis†. Applied Soft Computing 10 (3): 926–937. Biacino, L. ; Gerla, G. (2002). â€Å"Fuzzy logic, continuity and effectiveness†. Archive for Mathematical Logic 41 (7): 643–667. doi:10. 1007/s001530100128. ISSN 0933-5846. Cox, Earl (1994). The fuzzy systems handbook: a practitioner’s guide to building, using, maintaining fuzzy systems. Boston: AP Professional. ISBN 0-12-194270-8. Gerla, Giangiacomo (2006). â€Å"Effectiveness and Multivalued Logics†. Journal of Symbolic Logic 71 (1): 137–162. doi:10. 2178/jsl/1140641166. ISSN 0022-4812. Hajek, Petr (1998). Metamathematics of fuzzy logic. Dordrecht: Kluwer. ISBN 0792352386. Hajek, Petr (1995). â€Å"Fuzzy logic and arithmetical hierarchy†. Fuzzy Sets and Systems 3 (8): 359–363. doi:10. 1016/0165-0114(94)00299-M. ISSN 0165-0114. Halpern, Joseph Y. (2003). Reasoning about uncertainty. Cambridge, Mass: MIT Press. ISBN 0-262-08320-5. Hoppner, Frank; Klawonn, F. ; Kruse, R. ; Runkler, T. (1999). Fuzzy cluster analysis: methods for classification, data analysis and image recognition. New York: John Wiley. ISBN 0-471-98864-2. Ibrahim, Ahmad M. (1997). Introduction to Applied Fuzzy Electronics. Englewood Cliffs, N. J: Prentice Hall. ISBN 0-13-206400-6. Klir, George J. ; Folger, Tina A. (1988). Fuzzy sets, uncertainty, and information. Englewood Cliffs, N. J: Prentice Hall. ISBN 0-13-345984-5. Klir, George J. ; St Clair, Ute H. ; Yuan, Bo (1997). Fuzzy set theory: foundations and applications. Englewood Cliffs, NJ: Prentice Hall. ISBN 0133410587. Klir, George J. ; Yuan, Bo (1995). Fuzzy sets and fuzzy logic: theory and applications. Upper Saddle River, NJ: Prentice Hall PTR. ISBN 0-13-101171-5. Kosko, Bart (1993). Fuzzy thinking: the new science of fuzzy logic. New York: Hyperion. ISBN 0-7868-8021-X. Kosko, Bart; Isaka, Satoru (July 1993). â€Å"Fuzzy Logic†. Scientific American 269 (1): 76–81. doi:10. 1038/scientificamerican0793-76. Montagna, F. (2001). â€Å"Three complexity problems in quantified fuzzy logic†. Studia Logica 68 (1): 143–152. doi:10. 1023/A:1011958407631. ISSN 0039-3215. Mundici, Daniele; Cignoli, Roberto; D’Ottaviano, Itala M. L. (1999). Algebraic foundations of many-valued reasoning. Dodrecht: Kluwer Academic. ISBN 0-7923-6009-5. Novak, Vilem (1989). Fuzzy Sets and Their Applications. Bristol: Adam Hilger. ISBN 0-85274-583-4. Novak, Vilem (2005). â€Å"On fuzzy type theory†. Fuzzy Sets and Systems 149 (2): 235–273. doi:10. 1016/j. fss. 2004. 03. 027. Novak, Vilem; Perfilieva, Irina; Mockor, Jiri (1999). Mathematical principles of fuzzy logic. Dordrecht: Kluwer Academic. ISBN 0-7923-8595-0. Onses, Richard (1996). Second Order Experton: A new Tool for Changing Paradigms in Country Risk Calculation. ISBN 8477195587. Onses, Richard (1994). Determination de l? incertitude inherente aux investissements en Amerique Latine sur la base de la theorie des sous ensembles flous. Barcelona. ISBN 8447508811. Passino, Kevin M. ; Yurkovich, Stephen (1998). Fuzzy control. Boston: Addison-Wesley. ISBN 020118074X. Pedrycz, Witold; Gomide, Fernando (2007). Fuzzy systems engineering: Toward Human-Centerd Computing. Hoboken: Wiley-Interscience. ISBN 978047178857-7. Pu, Pao Ming; Liu, Ying Ming (1980). â€Å"Fuzzy topology. I. Neighborhood structure of a fuzzy point and Moore-Smith convergence†. Journal of Mathematical Analysis and Applications 76 (2): 571–599. doi:10. 1016/0022-247X(80)90048-7. ISSN 0022-247X Santos, Eugene S. (1970). â€Å"Fuzzy Algorithms†. Information and Control 17 (4): 326–339. doi:10. 1016/S0019-9958(70)80032-8. Scarpellini, Bruno (1962). â€Å"Die Nichaxiomatisierbarkeit des unendlichwertigen Pradikatenkalkuls von Lukasiewicz†. Journal of Symbolic Logic (Association for Symbolic Logic) 27 (2): 159–170. doi:10. 2307/2964111. ISSN 0022-4812. JSTOR 2964111. Steeb, Willi-Hans (2008). The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs: 4edition. World Scientific. ISBN 981-281-852-9. Wiedermann, J. (2004). â€Å"Characterizing the super-Turing computing power and efficiency of classical fuzzy Turing machines†. Theor. Comput. Sci. 317 (1-3): 61–69. doi:10. 1016/j. tcs. 2003. 12. 004. Yager, Ronald R. ; Filev, Dimitar P. (1994). Essentials of fuzzy modeling and control. New York: Wiley. ISBN 0-471-01761-2. Van Pelt, Miles (2008). Fuzzy Logic Applied to Daily Life. Seattle, WA: No No No No Press. ISBN 0-252-16341-9. Wilkinson, R. H. (1963). â€Å"A method of generating functions of several variables using analog diode logic†. IEEE Transactions on Electronic Computers 12 (2): 112–129. doi:10. 1109/PGEC. 1963. 263419. Zadeh, L. A. (1968). â€Å"Fuzzy algorithms†. Information and Control 12 (2): 94–102. doi:10. 1016/S0019-9958(68)90211-8. ISSN 0019-9958. Zadeh, L. A. (1965). â€Å"Fuzzy sets†. Information and Control 8 (3): 338–353. doi:10. 1016/S0019-9958(65)90241-X. ISSN 0019-9958. Zemankova-Leech, M. (1983). Fuzzy Relational Data Bases. Ph. D. Dissertation. Florida State University. Zimmermann, H. (2001). Fuzzy set theory and its applications. Boston: Kluwer Academic Publishers. ISBN 0-7923-7435-5. [edit]External links How to cite Fuzzy Logic, Papers

Segmentation Overhead An Integrated Circuit-Myassignmenthelp.Com

Question: Discuss About The Segmentation Overhead An Integrated Circuit? Answer: Introducation The first alternative projects an elevation of the selling price to $140 and the revenue incurred by the organization to $375,000. However, this would require an advertisement campaign of an estimated amount of $125,000, which would expose the business to high levels of risk in case the campaign is not successful or is not conducted efficiently. This would lead to the fall in the profitability of the firm. The second alternative that has been provided states that the sales volume increasing by the amount of 25% and variable cost by $5 per unit, the quality of the product can be enhanced. This would involve an input of promotional tools. However, the variable cost would increase, thus, decreasing the contribution per unit. Moreover, an additional profit of $75,000 would be incurred as the quality of the product has improved. The third alternative, is that the selling price if reduced by $10 per unit for the first three months then the profitability might be increased. The requirement for making a profit of $60,000, needs to be supported by the advertisement expense of $60,000. However, this proposal might lead to the loss of potential customers as they might think that the decline in price has resulted in the decline in the quality of the product. Thus, the particular proposal by the production manager is recommended. This is because this proposal leads to the increase in the product quality and the sales volume. This proposal has forecasted a profit of $75,000. The above table has been prepared in accordance to the capacity of the Tassie Company's factory that is 200000 units per year. The table shows that the utilization of the overall capacity increases the sales volume and the profitability of the firm. The selling price that has been shown in the table that is $10.80 has been obtained by the addition of the fixed cost with the variable cost and 20% mark up. The highest capacity of the organization in terms of production is 180,000 units per year. However, the current capacity is $150,000 units. It can be deduced that 10,000 units incur a profit of $2.50 per unit for accepting the government contract. Thus, the price for the first 30,000 units is $10.80 per unit and $13.30 per extra unit. Hence, the average price is $11.43. In case of activity based costing, the cost has been distributed across the activities that essentially is dependent on the time-period that has been spent in the manufacturing department. The facilitation of overhead cost pools and activity based costing results in the undertaking of suitable decisions in regards to the cost structure for increasing the profitability of the company. The method of activity based costing facilitates the identification of the direct cost in regards to the specific departments thus, the departmental hours can be easily computed. The cost pool essentially indicates the direct costs and the forecasted time-period can be utilized as the cost driver (Osadchy and Akhmetshin 2015). The process of segmentation is an important procedure that helps in the allocation of the overhead cost. This is because it facilitates the identification of the particular costs in regards to the establishment, purchase of materials and inspection and operation (Young 2015). For instance, the world famous company Toyota has efficiently resulted in the adoption of the process of segmentation of the overhead costs. This has been executed for improving the efficiency of the practices in relation to the costing techniques. The different overhead costs include selling overhead, administrative overhead, manufacturing overhead and other related overheads. A perfect example of the administrative overhead can be the office supplies that are acquired by a particular company. Thus, it can be deduced that the classification of the costs according to their respective type and category is necessary (Chow 2016). The costs related to accounting expenditures, office expenditures and audit fees will be under the domain of indirect overhead cost. The wages of the workers in relation to the handling of materials, production supplies will be categorized as variable overhead. The other advantages provided by segmentation are that the segmentation of the overhead costs results in the reduction of risks in regards to the overhead costs by the utilization of the costing process (Terpstra and Verbeeten 2014). Thus, it is evident from the above concluded paragraphs that the segmentation allows the proper identification of the costs so that they can be associated with the proper overheads thus, the allocation of the overhead costs to individual job or service can be well facilitated with the process of segmentation. References Chow, J.W.Y., 2016. Activity based costing: A case study of Raiffeisen Bank of Luxembourg (No. 12). EIKV-Schriftenreihe zum Wissens-und Wertemanagement. Osadchy, E.A. and Akhmetshin, E.M., 2015. Accounting and control of indirect costs of organization as a condition of optimizing its financial and economic activities. International Business Management, 9(7), pp.1705-1709. Terpstra, M. and Verbeeten, F.H., 2014. Customer satisfaction: Cost driver or value driver? Empirical evidence from the financial services industry. European Management Journal, 32(3), pp.499-508. Todorovic, M., 2016. TIME-DRIVEN ACTIVITY-BASED COSTING AS A TOOL OF BUILDING AN INTEGRATED MANAGEMENT SYSTEM. Facta Universitatis, Series: Economics and Organization, pp.45-57. Young, S.P., Karp, J. and Hart, M.J., Xilinx, Inc., 2015. Method and apparatus to reduce power segmentation overhead within an integrated circuit. U.S. Patent 9,058,454.