Description

Fuzzy set and logic theory suggest that all natural language linguistic expressions are imprecise and must be assessed as a matter of degree. But in general membership degree is an imprecise notion which requires that Type 2 membership degrees be considered in most applications related to human decision making schemas. Even if the membership functions are restricted to be Type1, their combinations generate an interval – valued Type 2 membership. This is part of the general result that Classical equivalences breakdown in Fuzzy theory. Thus all classical formulas must be reassessed with an upper and lower expression that are generated by the breakdown of classical formulas.

Key features:

- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms

Key Features

- Ontological grounding
- Epistemological justification
- Measurement of Membership
- Breakdown of equivalences
- FDCF is not equivalent to FCCF
- Fuzzy Beliefs
- Meta-Linguistic axioms

Readership

Fuzzy set and Logic theory and applications, Industrial Engineering, Management Sciences, Operations Research, Decision Support Systems and System Modeling.

Table of Contents

Table of Contents Preface Table of Contents 0. Foundation 1. Introduction 2. Computing with Words 3. Measurement of Membership 4. Elicitation Methods 5. Fuzzy Clustering Methods 6. Classes of Fuzzy Set and Logic Theories 7. Equivalences in Two-Valued Logic 8. Fuzzy-Valued Set and Two-Valued Logic 9. Containment of FDCF in FCCF 10. Consequences of D(0,1), V(0,1) Theory 11. Compensatory "And" 12. Belief, Plausibility and Probability Measures on Interval-Valued Type 2 Fuzzy Sets 13. Veristic Fuzzy Sets of Truthoods 14. Approximate Reasoning 15. Interval-Valued Type 2 GMP 16. A Theoretical Application of Interval-Valued Type 2 Representation 17. A Foundation for Computing with Words: Meta-Linguistic Axioms 18. Epilogue References Subject Index Author Index

Details

No. of pages:
542
Language:
English
Copyright:
© 2006
Published:
Imprint:
Elsevier Science
Print ISBN:
9780444518910
Electronic ISBN:
9780080525716