Fuzzy Logic for the Management of Uncertainty

by Lotfi Asker Zadeh

Author	: Lotfi Asker Zadeh
Publisher	: Wiley-Interscience
Total Pages	: 696
Release	: 1992-07-30
Genre	: Computers
ISBN	:

GET BOOK

Fuzzy Logic for the Management of Uncertainty covers many important topics, including:" "Developments in mathematics that have paved the road for fuzzy logic;" "Deep, and of a broad perspective, exposition of virtually all approaches used in contemporary science for the representation and handling of imperfect (uncertain, imprecise, vague, ambiguous, etc.) information;" "Coverage of practically all relevant and promising directions and approaches in fuzzy logic research including LT--fuzzy logic, model theoretic approaches, intuitionistic fuzzy logic, nonmonotonic fuzzy logic, modifier fuzzy logic;" "VLSI fuzzy logic-based chips that have triggered the implementation of fuzzy logic in so many fields of science and technology;" "A broad coverage of fuzzy logic in approximate reasoning, including basic issues related to the role of fuzzy logic for approximate reasoning, analyses of various definitions of fuzzy implication that is a crucial element in fuzzy logic-based reasoning schemes,

Uncertainty Management with Fuzzy and Rough Sets

by Rafael Bello

Author	: Rafael Bello
Publisher	: Springer
Total Pages	: 424
Release	: 2019-01-22
Genre	: Technology & Engineering
ISBN	: 303010463X

GET BOOK

This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Fuzzy Logic in Management

by Christer Carlsson

Author	: Christer Carlsson
Publisher	: Springer Science & Business Media
Total Pages	: 289
Release	: 2012-12-06
Genre	: Mathematics
ISBN	: 1441989773

GET BOOK

This book shows how the application of fuzzy logic can benefit management, group decision making, strategic planning, supply chain management and other business imperatives. The theoretical analysis is fully supported by real-life case studies. The book develops themes that businesses can use to master effectiveness and quality, work with flexibility, and support continuous learning in the organization and the individual.

Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh

by George J Klir

Author	: George J Klir
Publisher	: World Scientific
Total Pages	: 842
Release	: 1996-05-30
Genre	: Computers
ISBN	: 9814499811

GET BOOK

This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words — a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.

Fuzzy Logic for Business, Finance, and Management

by George Bojadziev

Author	: George Bojadziev
Publisher	: World Scientific
Total Pages	: 253
Release	: 2007
Genre	: Business & Economics
ISBN	: 9812770623

GET BOOK

This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models

by Humberto Bustince

Author	: Humberto Bustince
Publisher	: Springer
Total Pages	: 674
Release	: 2007-10-30
Genre	: Computers
ISBN	: 3540737235

GET BOOK

This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book’s 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations

Fuzzy Logic and Probability Applications

by Timothy J. Ross

Author	: Timothy J. Ross
Publisher	: SIAM
Total Pages	: 424
Release	: 2002-01-01
Genre	: Mathematics
ISBN	: 0898715253

GET BOOK

Shows both the shortcomings and benefits of each technique, and even demonstrates useful combinations of the two.

Modeling Uncertainty with Fuzzy Logic

by Asli Celikyilmaz

Author	: Asli Celikyilmaz
Publisher	: Springer
Total Pages	: 443
Release	: 2009-04-01
Genre	: Computers
ISBN	: 3540899243

GET BOOK

The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability.

Fuzzy Logic for Beginners

by Masao Mukaidono

Author	: Masao Mukaidono
Publisher	: World Scientific
Total Pages	: 117
Release	: 2001
Genre	: Computers
ISBN	: 9810245343

GET BOOK

There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes or no is ambiguous and appears in the meaning of words or is included in the subjunctives or recognition of human beings. Fuzzy theory is essential and is applicable to many systems -- from consumer products like washing machines or refrigerators to big systems like trains or subways. Recently, fuzzy theory has been a strong tool for combining new theories (called soft computing) such as genetic algorithms or neural networks to get knowledge from real data. This introductory book enables the reader to understand easily what fuzziness is and how one can apply fuzzy theory to real problems -- which explains why it was a best-seller in Japan.