Published November 30, 1995
by Physica-Verlag .
Written in English
|The Physical Object|
|Number of Pages||482|
Fuzzy Functions and Calculus of Fuzzy Functions Chapter 7. Measures of Vagueness and Uncertainty Chapter 8. Evidence Theory, Possibility Theory and Probability Theory Chapter 9. Linguistic Variables, Fuzzy Rules and Fuzzy Propositions Chapter Fuzzy Logic and Approximate Reasoning Chapter Decision Making in a Fuzzy Environment Chapter Filipowicz W. () Fuzzy Evidence Reasoning and Navigational Position Fixing. In: Tweedale J., Jain L. (eds) Recent Advances in Knowledge-based Paradigms and Applications. Advances in Intelligent Systems and Computing, vol Cited by: 4. Describes the application to general areas of knowledge engineering including expert and decision-support systems, evidential and case-based reasoning, fuzzy control and databases. An accompanying disk for Macintosh and one for the IBM PC enables readers to . On the basis of analyzing generalized methods of evidence reasoning to fuzzy set, a method of fuzzy-evidence reasoning based on similarity measure is proposed. Similarity measure of fuzzy sets is introduced to determine contribution factors of fuzzy focal elements to belief function and plausibility function in the method. Based on the measure, basic probability assignment values are modified.
After a general discussion of expert systems, the basic fuzzy math required is presented first, requiring little more math background than high-school algebra. This book will fill a void in the market because although there are many books on expert systems, none devote more than a few pages to the notion of fuzzy sets and their applications in. Probability of a Fuzzy Event as a Fuzzy Set Possibility vs. Probability Part II: Applications of Fuzzy Set Theory 9 Fuzzy Logic and Approximate Reasoning Linguistic Variables Fuzzy Logic Classical Logics Revisited Linguistic Truth Tables Approximate and Plausible Reasoning 9. Part of the Lecture Notes in Computer Science book series (LNCS, volume ) Abstract. Theory of evidence can be used to model uncertainty in many applications. Representation of relationship between evidence and hypothesis space is to be defined in practical cases. Lee, E.S., Zhu, Q.: Fuzzy and Evidence Reasoning. Physica, Heidelberg. Book: General Biology (Boundless) pictures, photos, or videos. From many observations, the scientist can infer conclusions (inductions) based on evidence. Inductive reasoning involves formulating generalizations inferred from careful observation and the analysis of a large amount of data. The fuzzy boundary becomes apparent when.
Keywords: Case retrieval, intuitionistic fuzzy number, evidence reasoning, similarity measurement, gas explosion. 1. Introduction. Case-based reasoning (CBR) is a method of. 2. The Fault Tree and Fuzzy D-S Evidential Reasoning combined approach. D-S evidential reasoning is an approach for utilization of principles based on evidence theory in multi-attribute decision analysis, which was proposed by Dempster for the first time, and developed by Shafer. D-S evidential reasoning emphasizes the objectivity of things. Preface to the Second Edition. Preface to the First Edition. Acknowledgements. Chapter 1. Introduction • Limitations of the Conventional Tools of Analysis • Certainty Versus Uncertainty • Nature and Role of Uncertainty • Fuzzy Set Theory and Related Concepts • About This Book. Chapter 2. Fuzzy Sets • Classical Sets: An Overview • Extensional Definition • Intensional Definition. Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. Fuzzy approach to reasoning and decision-making: selected papers of the international symposium held at Bechyně, from June 25 to 29, in SearchWorks catalog.