Multiperson Decision Making Models Using Fuzzy Sets And Possibility Theory PDF Download
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Author | : J. Kacprzyk |
Publisher | : Springer Science & Business Media |
Total Pages | : 349 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 9400921098 |
Download Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory Book in PDF, ePub and Kindle
Decision making is certainly a very crucial component of many human activities. It is, therefore, not surprising that models of decisions play a very important role not only in decision theory but also in areas such as operations Research, Management science, social Psychology etc . . The basic model of a decision in classical normative decision theory has very little in common with real decision making: It portrays a decision as a clear-cut act of choice, performed by one individual decision maker and in which states of nature, possible actions, results and preferences are well and crisply defined. The only compo nent in which uncertainty is permitted is the occurence of the different states of nature, for which probabilistic descriptions are allowed. These probabilities are generally assumed to be known numerically, i. e. as single probabili ties or as probability distribution functions. Extensions of this basic model can primarily be conceived in three directions: 1. Rather than a single decision maker there are several decision makers involved. This has lead to the areas of game theory, team theory and group decision theory. 2. The preference or utility function is not single valued but rather vector valued. This extension is considered in multiattribute utility theory and in multicritieria analysis. 3.
Author | : J. Kacprzyk |
Publisher | : Springer Science & Business Media |
Total Pages | : 465 |
Release | : 2013-11-11 |
Genre | : Mathematics |
ISBN | : 9400938691 |
Download Optimization Models Using Fuzzy Sets and Possibility Theory Book in PDF, ePub and Kindle
Optimization is of central concern to a number of discip lines. Operations Research and Decision Theory are often consi dered to be identical with optimizationo But also in other areas such as engineering design, regional policy, logistics and many others, the search for optimal solutions is one of the prime goals. The methods and models which have been used over the last decades in these areas have primarily been "hard" or "crisp", i. e. the solutions were considered to be either fea sible or unfeasible, either above a certain aspiration level or below. This dichotomous structure of methods very often forced the modeller to approximate real problem situations of the more-or-less type by yes-or-no-type models, the solutions of which might turn out not to be the solutions to the real prob lems. This is particularly true if the problem under considera tion includes vaguely defined relationships, human evaluations, uncertainty due to inconsistent or incomplete evidence, if na tural language has to be modelled or if state variables can only be described approximately. Until recently, everything which was not known with cer tainty, i. e. which was not known to be either true or false or which was not known to either happen with certainty or to be impossible to occur, was modelled by means of probabilitieso This holds in particular for uncertainties concerning the oc currence of events.
Author | : Hans-Jürgen Zimmermann |
Publisher | : Springer Science & Business Media |
Total Pages | : 342 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 9400932499 |
Download Fuzzy Sets, Decision Making, and Expert Systems Book in PDF, ePub and Kindle
In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed.
Author | : Janusz Kacprzyk |
Publisher | : Verlag Tuv Rheinland |
Total Pages | : 368 |
Release | : 1985 |
Genre | : Business & Economics |
ISBN | : |
Download Management Decision Support Systems Using Fuzzy Sets and Possibility Theory Book in PDF, ePub and Kindle
Author | : Rafik Aziz Aliev |
Publisher | : Springer |
Total Pages | : 324 |
Release | : 2013-01-12 |
Genre | : Computers |
ISBN | : 9783642348969 |
Download Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions Book in PDF, ePub and Kindle
Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes’s analysis of uncertainty. There is a need for further generalization – a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Development of new theories is now possible due to an increased computational power of information processing systems which allows for computations with imperfect information, particularly, imprecise and partially true information, which are much more complex than computations over numbers and probabilities. The monograph exposes the foundations of a new decision theory with imperfect decision-relevant information on environment and a decision maker’s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory. The book is self containing and represents in a systematic way the decision theory with imperfect information into the educational systems. The book will be helpful for teachers and students of universities and colleges, for managers and specialists from various fields of business and economics, production and social sphere.
Author | : Salvatore Greco |
Publisher | : Springer Science & Business Media |
Total Pages | : 420 |
Release | : 2010-10-05 |
Genre | : Computers |
ISBN | : 3642159753 |
Download Preferences and Decisions Book in PDF, ePub and Kindle
Decision making is an omnipresent, most crucial activity of the human being, and also of virtually all artificial broadly perceived “intelligent” systems that try to mimic human behavior, reasoning and choice processes. It is quite obvious that such a relevance of decision making had triggered vast research effort on its very essence, and attempts to develop tools and techniques which would make it possible to somehow mimic human decision making related acts, even to automate decision making processes that had been so far reserved for the human beings. The roots of those attempts at a scientific analysis can be traced to the ancient times but – clearly – they have gained momentum in the recent 50 or 100 years following a general boom in science. Depending on the field of science, decision making can be viewed in different ways. The most general view can be that decision making boils down to some cognitive, mental process(es) that lead to the selection of an option or a course of action among several alternatives. Then, looking in a deeper way, from a psychological perspective this process proceeds in the context of a set of needs, preferences, rational choice of an individual, a group of individuals, or even an organization. From a cognitive perspective, the decision making process proceeds in the context of various interactions with the environment.
Author | : Ronald R. Yager |
Publisher | : Springer |
Total Pages | : 300 |
Release | : 2011-02-03 |
Genre | : Technology & Engineering |
ISBN | : 364217910X |
Download Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice Book in PDF, ePub and Kindle
This volume presents the state of the art of new developments, and some interesting and relevant applications of the OWA (ordered weighted averaging) operators. The OWA operators were introduced in the early 1980s by Ronald R. Yager as a conceptually and numerically simple, easily implementable, yet extremely powerful general aggregation operator. That simplicity, generality and implementability of the OWA operators, combined with their intuitive appeal, have triggered much research both in the foundations and extensions of the OWA operators, and in their applications to a wide variety of problems in various fields of science and technology. Part I: Methods includes papers on theoretical foundations of OWA operators and their extensions. The papers in Part II: Applications show some more relevant applications of the OWA operators, mostly means, as powerful yet general aggregation operators. The application areas are exemplified by environmental modeling, social networks, image analysis, financial decision making and water resource management.
Author | : Pei Zhuang Wang |
Publisher | : World Scientific |
Total Pages | : 405 |
Release | : 1994-01-24 |
Genre | : Computers |
ISBN | : 9814602299 |
Download Between Mind And Computer: Fuzzy Science And Engineering Book in PDF, ePub and Kindle
The “Fuzzy Explosion” emanating from Japan has compelled more people than ever to ponder the meaning and potential of fuzzy engineering. Scientists all over are now beginning to harness the power of fuzzy recognition and decision-making — reminescent of the way the human mind works — in computer applications.In this book a blue-ribbon list of contributors discusses the latest developments in topics such as possibility logic programming, truth-valued flow inference, fuzzy neural-logic networks and default knowledge representation. This volume is the first in a series aiming to document advances in fuzzy set theory and its applications.
Author | : Rudolf Seising |
Publisher | : Springer Science & Business Media |
Total Pages | : 604 |
Release | : 2009-04-03 |
Genre | : Computers |
ISBN | : 354093801X |
Download Views on Fuzzy Sets and Systems from Different Perspectives Book in PDF, ePub and Kindle
This book presents the complete philosophy of Fuzzy Set Theory. It offers a collection of views from scholars involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy.
Author | : Francesco Masulli |
Publisher | : Springer |
Total Pages | : 708 |
Release | : 2007-08-24 |
Genre | : Computers |
ISBN | : 3540734007 |
Download Applications of Fuzzy Sets Theory Book in PDF, ePub and Kindle
The 7th International Workshop on Fuzzy Logic and Applications, held in Camogli, Italy in July 2007, presented the latest findings in the field. This volume features the refereed proceedings from that meeting. It includes 84 full papers as well as three keynote speeches. The papers are organized into topical sections covering fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems.