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Fuzzy information and decision processes
Madan M. Gupta,Elie Sanchez +1 more
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This paper presents a meta-modelling framework for the design of feedback algorithms implementing the experience of a human operator in the feedback loop based upon the fuzzy set theory and possibility theory.About:
This article is published in IFAC Proceedings Volumes.The article was published on 1981-08-01. It has received 336 citations till now. The article focuses on the topics: Evidential reasoning approach & Influence diagram.read more
Citations
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Is there a need for fuzzy logic
TL;DR: In this paper, fuzzy logic is viewed in a nonstandard perspective and the cornerstones of fuzzy logic-and its principal distinguishing features-are: graduation, granulation, precisiation and the concept of a generalized constraint.
Book
Foundations of neural networks, fuzzy systems, and knowledge engineering
TL;DR: This text is the first to combine the study of neural networks and fuzzy systems, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems.
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Combining belief functions when evidence conflicts
TL;DR: To achieve convergence, this research suggests incorporating average belief into the combining rule, which best solves the normalization problems, but it does not offer convergence toward certainty, nor a probabilistic basis.
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Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem
TL;DR: Some fuzzy linear programming methods and techniques from a practical point of view are reviewed and some newly developed ideas and techniques in fuzzy mathematical programming are briey reviewed.
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Decision making in the TBM: the necessity of the pignistic transformation
TL;DR: The origin of the pignistic transformation is justified by a linearity requirement showing it is not ad hoc but unavoidable provides one accepts expected utility theory.
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A Review of: “INTRODUCTION [Adot] LA THÉORIE DES SOUS-ENSEMBLES FLOUS”.† I. ELÉMENTS THÉORIQUES DE BASE (Introduction to the Theory of Fuzzy Sets. 1. Elements of Theoretical Foundations) by A. Kaufmann, with a Preface by Lofti A. Zadeh, Masson et Cie, Paris, 1973.
TL;DR: Theoretical foundations of fuzzy sets were introduced by A. Kaufmann as discussed by the authors, with a preface by Lofti A. Zadeh, Masson et Cie.