Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers. The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. All chapters have been updated. Exercises are included.

https://www.springer.com/productFlyer_978-0-7923-7435-0.pdf?SGWID=0-0-1297-33300503-0

Fuzzy Set Theory - and Its Applications

Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic

Theory of fuzzy integrals and its applications

Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

Theory and practice of uncertain programming

http://cepac.cheme.cmu.edu/pasilectures/sahinidis/NVSpaperthree.pdf

Kiyoji Asai

Papers

Use of AIC to Select Statistical Models for Fuzzy Interval Data

Fuzzy Integrals and Their Applications to Multiple Attribute Decision Problems

Approximate Bayesian Regression Analysis based on Fuzzy Interval Data

Analysis of structure in consciousness of volunteers by fuzzy quantification theory type ii

Regression Analysis based on Fuzzy Interaval Data