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Fuzzy scheduling: Modelling flexible constraints vs. co** with incomplete knowledge
An overview of some fuzzy set-based approaches to scheduling is proposed, emphasizing
two distinct uses of fuzzy sets: representing preference profiles and modelling uncertainty …
two distinct uses of fuzzy sets: representing preference profiles and modelling uncertainty …
[HTML][HTML] Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics
In this paper, a systematic review of non-probabilistic reliability metrics is conducted to assist
the selection of appropriate reliability metrics to model the influence of epistemic uncertainty …
the selection of appropriate reliability metrics to model the influence of epistemic uncertainty …
[ספר][B] Fuzzy logic and mathematics: a historical perspective
R Belohlavek, JW Dauben, GJ Klir - 2017 - books.google.com
The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …
and manipulating knowledge based on the rejection of the most fundamental principle of …
Possibility theory
Abstract The Parable Proxy of Possibilities is an innovation framework that enables
organizations to safely interrogate the perspectives that materialize and maintain the status …
organizations to safely interrogate the perspectives that materialize and maintain the status …
[ספר][B] Multiple attribute decision making: methods and applications
Decision makers are often faced with several conflicting alternatives. How do they evaluate
trade-offs when there are more than three criteria? To help people make optimal decisions …
trade-offs when there are more than three criteria? To help people make optimal decisions …
[ספר][B] Triangular norms
EP Klement, R Mesiar, E Pap - 2013 - books.google.com
The history of triangular norms started with the paper" Statistical metrics"[Menger 1942]. The
main idea of Karl Menger was to construct metric spaces where probability distributions …
main idea of Karl Menger was to construct metric spaces where probability distributions …
A possibilistic programming approach for closed-loop supply chain network design under uncertainty
The design of closed-loop supply chain networks has attracted more attention in recent
years according to business and environmental factors. The significance of accounting for …
years according to business and environmental factors. The significance of accounting for …
Linear programming with fuzzy parameters: an interactive method resolution
This paper proposes a method for solving linear programming problems where all the
coefficients are, in general, fuzzy numbers. We use a fuzzy ranking method to rank the fuzzy …
coefficients are, in general, fuzzy numbers. We use a fuzzy ranking method to rank the fuzzy …
Probability-possibility transformations, triangular fuzzy sets, and probabilistic inequalities
A possibility measure can encode a family of probability measures. This fact is the basis for a
transformation of a probability distribution into a possibility distribution that generalises the …
transformation of a probability distribution into a possibility distribution that generalises the …
Possibility theory, probability theory and multiple-valued logics: A clarification
There has been a long-lasting misunderstanding in the literature of artificial intelligence and
uncertainty modeling, regarding the role of fuzzy set theory and many-valued logics. The …
uncertainty modeling, regarding the role of fuzzy set theory and many-valued logics. The …