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178 pages, 2007, Journal of Applied Quantitative Methods, vol.2, No.4, 2007

Abstract:

Selected topics and abstracts are listed below from: "Learning Organization and Team Learning. Systemic Approaches: Advantages and Challenges." Nitin UPADHYAY, Vishnu Prakash AGARWAL: Structural Identification and Comparison of Intelligent Mobile Learning Environment: the paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environments. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. p. 363 Constantin BRATIANU: The Learning Paradox and the University 375 Gabriel ZAMFIR: Information Technology and the Cognitive Domain 387 Hassan ZAREI MATIN, Gholamreza JANDAGHI, Boshra MOINI Nicolae PELIN, Serghei PELIN Models and Systems for Structurization of Knowledge in Training 418 Quantitative Methods Inquires Daniela MARINESCU, Mioara BANCESCU, Dumitru MARIN Study of Equilibrium Prices, Using General Equilibrium Models 431 Mehmet MENDES The Effects of Non-normality on Type III error for Comparing Independent Means 444 Robert ENYEDI Automated Software Translation : Theoretical Background and Case Study 455 Avner BEN-YAIR, Dimitri GOLENKO-GINZBURG Harmonization Models for Designing Compound Systems 468 Bogdan OANCEA, Monica NEDELCU Parallel Algorithms for Large Scale Macroeconometric Models Book Review Afrodita IORGULESCU The monograph Fuzzy Choice Functions-- A Revealed Preference Approach, written by Dr. Irina Georgescu from the Academy of Economic Studies, Bucharest, Romania,and appeared in Studies in Fuzziness and Soft Computing, Vol. 214, 2007, Springer, ISBN 978-3-540-68997-3, started as a PhD thesis, supervised by Professor Christer Carlsson from Turku Centre for Computer Science, Institute for Advanced Management Systems Research, Abo Akademi University, Turku, Finland. As mentioned in the Introduction, it has the following goals: to develop the main topics of revealed preference theory (rationality, revealed preference, congruence,consistency) for a large class of fuzzy choice functions, to explore new topics (degree of dominance, similarity, indicators of rationality) specific to a fuzzy approach to choice functions and to show the manner in which some problems of multicriterial decision making problems can find natural solutions in fuzzy revealed preference theory. The book has eleven chapters: Introduction, Preliminaries, Classical Revealed Preference Theory, Fuzzy Preference Relations, Fuzzy Choice Functions, Fuzzy Revealed Preference and Consistency Conditions, General Results, Degree of Dominance, Similarity and Rationality Indicators for Fuzzy Choice Functions, Applications, Concluding Remarks and a bibliography of 120 titles. The contribution consists in the following: "(1) it is a theoretical framework for a fuzzy revealed preference theory different of that of Banerjee's; the author develops the fuzzy version of the direction Uzawa-Arrow-Sen. (2) The treatment, in this general framework, of the main topics of revealed preference theory such as rationality, revealed preference and congruence axioms, consistency conditions; the statement of various conditions and results, as well their proofs, is not a simple translation of the situations from the case of crisp choice functions; sometimes, a crisp property has many different fuzzy versions. (3) The definition of the degree of dominance of an alternative as a tool in obtaining the hierarchy of alternatives according to different criteria, where the criteria can be taken as the available sets of alternatives. (4) The definition of new concepts, as similarity and the indicators of fuzzy choice functions are introduced for obtaining a deeper insight on fuzzy revealed preference theory. (5) The analysis of the three applications of Chapter 8 describing concrete economic situations led to the conclusions that the mathematical modeling is done by formulating some fuzzy choice problems, where criteria are represented by fuzzy available sets of alternatives, and that the degree of dominance is the mathematical instrument on which the algorithms of multi-criterial hierarchy are based. The text is reasonably self-contained, but previous knowledge of revealed preference and fuzzy set theory is helpful for the reader. The book is addressed to computer scientists,economists, and social choice theorists, who can find in it a stimulating material for further research and concrete applications." Free download on line at : http://jaqm.ro/issues/volume-2,issue-4/pdfs/jaqm_vol2_issue4.pdf

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