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Fuzzy Decision Making

2001
After formulating the fuzzy representations of the various linguistic terms, the next step is decision-making based on these formulations and by using fuzzy optimization or decision making techniques. Fuzzy optimization approaches have been developed for most of the existing crisp optimization and decision making techniques. Fuzzy linear programming is
E. Stanley Lee, Hsu-shih Shih
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Fuzzy decision making under uncertainty

1998
When no probabilities are available for states of nature, decisions are given under uncertainty. When probabilities are unattainable, the criteria such as minimax, maximin, minimaxregret can be used. While these criteria are used, a single value is assigned for every strategy and state of nature. Fuzzy numbers are a good tool for the operation research
Cengiz Kahraman, Ethem Tolga
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FUZZY LOGIC OPERATORS IN DECISION-MAKING

Cybernetics and Systems, 1999
The fuzzy logic operators are used to decide the following multicriteria decision-making problem. A finite set of alternatives is evaluated by a set of fuzzy criteria, i.e., fuzzy relations, which may be either fuzzy preference, or similarity, or likeness relations.
Vania Peneva, Ivan P. Popchev
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Decision-making with a fuzzy preference relation

Fuzzy Sets and Systems, 1978
Abstract In most decisio-making problems a preference relation in the set of alternatives is of a fuzzy nature, reflecting for instance on the fuzziness of experts estimates of the preferences. In this paper, the corresponding fuzzy equivalence and strict preference relations are defined for a given fuzzy non-strict preference relation in an unfuzzy ...
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Decision making with fuzzy probability assessments

IEEE Transactions on Fuzzy Systems, 1999
We discuss the idea of a fuzzy probability assessment, the association a collection of fuzzy probabilities with the outcomes of a random experiment. Fuzzy probability assessments often result from the linguistic specification of probabilities as provided by human experts.
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Investment decision making under fuzziness

Journal of Enterprise Information Management, 2011
PurposeThe purpose of this paper is to discuss the applicability of investment decision‐making techniques under fuzziness.Design/methodology/approachThe paper explains how fuzzy sets can be used in investment decision making.FindingsIt was found that any classical investment analysis technique can be converted easily to a fuzzy case.Originality ...
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Fuzzy reasoning and fuzzy decision-making

2017
Approximate reasoning, fuzzy reasoning and fuzzy decision-making processes are given in this chapter. Single-input single-rule, single-input multiple rules and multiple-input-multiple-rule base systems are studied and examples are given. The concept of fuzzy reasoning is studied and user-defined MATLAB® files are used to support the operational ...
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A Fuzzy Logic Approach to Decision Making

2006
In the today’ s uncertain and dynamic environment, strategic planning is becoming even more important since strategic decisions could seriously impact the financial performance and status of a firm. In making a decision, the managers have to apply a range of criteria, but in some cases the criteria may not always satisfy the firm’ s goals ...
Skendrović, Vladimir, Čulo, Ksenija
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Revisiting Fuzzy and Linguistic Decision Making: Scenarios and Challenges for Making Wiser Decisions in a Better Way

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
FRANCISCO Javier Cabrerizo   +2 more
exaly  

Fuzzy Group Decision-Making

2005
David Ben-Arieh, Zhifeng Chen
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