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Problems of Decision-Making with Fuzzy Information

S. Orlovsky
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TLDR
The analytical approaches outlined here enable the analyst to use the information in a fuzzy form for narrowing down the scope of alternative decisions, by discarding those of them for which better alternatives can be found.
Abstract
A fuzzy set is a mathematical model of a collection of elements (objects) with fuzzy boundaries, which involves the possibility of gradual transition from complete belongness to nonbelongness of an element to a collection. This concept is introduced in the Fuzzy Sets Theory as the means to model mathematically fuzzy notions that are used by human beings in describing their understanding of real systems, their preferences, goals, etc. This introductory paper outlines various classes of problems of decision-making in a fuzzy environment, that is, in which information is modeled in terms of fuzzy sets and relations. The analytical approaches outlined here enable the analyst to use the information in a fuzzy form for narrowing down the scope of alternative decisions, by discarding those of them for which better alternatives can be found. A number of illustrative examples are discussed.

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Fuzzy Set Based Consensus Schemes for Multicriteria Group Decision making Applied to Strategic Planning

TL;DR: A methodology that makes use of the three consensus schemes implemented by a coordination mode that creates an efficient manner of exploiting the capabilities of each member of the group in a cooperative work is proposed.