Abstract
„Fuzzy sets and fuzzy logic in multi-criteria decision making. The 50th anniversary of Prof. Lotfi Zadeh’s theory: introduction" Technological and Economic Development of Economy, 21(5), pp. 677–683
Highlights
Multi-Criteria Decision Making (MCDM) is concerned with structuring and solving decision and planning problems involving multiple criteria in order to support the complex decision making processes that human beings develop in their daily lives
Fuzzy MCDM methods offer multiple ways to model and manage problems and variables that are difficult to quantify in Economics
Let us briefly summarize the content of each paper from this special issue, which is composed of eight new contributions on the development of fuzzy models for MCDM, as well as formal fuzzy MCDM approaches applied in real practical problems
Summary
Fuzzy sets were introduced by the Prof. Lotfi A. Using the important fuzzy concept of linguistic variable (Zadeh 1975a, 1975b, 1975c) fuzzy logic allows to formalize human reasoning in such a way that the rules are set in natural language. Zadeh introduced the concepts of fuzzy set and fuzzy logic in order to provide a tool for representing and reasoning in a manner similar to the way humans express knowledge, make decisions and summarize data (Kacprzyk, Pedrycz 2015). To develop fuzzy intelligent systems for information retrieval, recommender systems, relational database, web quality, digital libraries, control systems, data mining, autonomous robots (Herrera-Viedma et al 2006; Kacprzyk, Pedrycz 2015; Yager, Zadeh 1992). Some important fuzzy tools to solve problems are (Dubois, Prade 1988; Kacprzyk, Pedrycz 2015): fuzzy connectives, fuzzy implications, aggregation functions, fuzzy integrals, type-2 fuzzy sets, linguistic variables, interval-valued fuzzy sets, intuitionistic fuzzy sets, fuzzy numbers, fuzzy preference relations, fuzzy ontology, fuzzy rule-based systems, and fuzzy clustering
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