Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic

Ghada A. Altarawneh, Ahmad B. Hassanat, Ahmad S. Tarawneh, David Carfì and Abdullah Almuhaimeed
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Ghada A. Altarawneh: Department of Accounting, Mutah University, Karak 61710, Jordan
Ahmad B. Hassanat: Department of Computer Science, Faculty of Information Technology, Mutah University, Karak 61710, Jordan
Ahmad S. Tarawneh: Department of Algorithms and Their Applications, Eotvos Lorand University, 1053 Budapest, Hungary
David Carfì: Department of Mathematics, University of California Riverside, Riverside, CA 92521, USA
Abdullah Almuhaimeed: The National Centre for Genomics and Bioinformatics, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia

Mathematics, 2022, vol. 10, issue 6, 1-17

Abstract: The classic notion of a win–win situation has a key flaw in that it cannot always offer the parties equal amounts of winningsbecause each party believes they are winners. In reality, one party may win more than the other. This strategy is not limited to a single product or negotiation; it may be applied to a variety of situations in life. We present a novel way to measure the win–win situation in this paper. The proposed method employs fuzzy logic to create a mathematical model that aids negotiators in quantifying their winning percentages. The model is put to the test on real-life negotiation scenarios such as the Iraqi–Jordanian oil deal and iron ore negotiation (2005–2009), in addition to scenarios from the game of chess. The presented model has proven to be a useful tool in practice and can be easily generalized to be utilized in other domains as well.

Keywords: fuzzy logic; economics; win–win situation; win–win negotiations (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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