Fuzzy Logic in Decision Making

Authors

  • Mohammad A. Al-Mahmeed Kuwait University
  • Hosny I. Hamdy Kuwait University
  • Hameed A. Al-Qaheri Kuwait University

DOI:

https://doi.org/10.34120/ajas.v6i2.407

Keywords:

Fuzzy logic, multiple logic, binary logic, belonging function, probability, applications of fuzzy logic, uncertainty principle, ambiguity, vagueness

Abstract

This study is concerned with the introduction of the idea of the multi valued logic (Fuzzy logic) which deals with the shortage of the human languages in expressing the real meanings of the intellectual understandings of things or events. The strength of fuzzy logic lies in its ability to facilitate decision making under lack (ambiguity or vagueness) of available information. Fuzzy logic has developed from its theoretical and empirical nature to a full technical and industrial use. This study illustrates the concept of fuzzy logic and the philosophy of decision making and statistical inferences under fuzzy information.

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Author Biographies

Mohammad A. Al-Mahmeed, Kuwait University

Ph.D. in Statistics, Oklahoma State University, USA, 1982. Assistant Professor, College of Business Administration, Kuwait University. He has research interests in mathematical and applied statistics, especially Sequential and time series analysis, Binz statistics, network analysis, and Neural and Fuzzy Logic.

Hosny I. Hamdy, Kuwait University

Ph.D. in Statistics, Oklahoma State University, USA, 1983. Professor of Mathematics and Statistics, Department of Quantitative Methods and Information Systems, College of Business Administration, Kuwait University, and Research Professor at the University of Vermont. His research interests are in the fields of sequential analysis, decision theory, statistical applications in business sciences, engineering statistics, theory Probability, Fuzzy Logic, and Risk Theory.

Hameed A. Al-Qaheri, Kuwait University

Ph.D. in Information Systems, University of Pittsburgh, USA, 1989. Lecturer, Department of Quantitative Methods and Information Systems, College of Business Administration, Kuwait University. He has research interests in the fields of information systems and decision support systems, digital libraries, Arabic language processing and automatic understanding of Arabic texts, search and retrieval in Arabic texts, and fuzzy logic and its applications.

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Published

1999

How to Cite

Al-Mahmeed, M. A., Hamdy, H. I., & Al-Qaheri, H. A. (1999). Fuzzy Logic in Decision Making. Arab Journal of Administrative Sciences, 6(2), 213–229. https://doi.org/10.34120/ajas.v6i2.407

Issue

Vol. 6 No. 2 (1999)

Section

Management