Next Article in Journal
The Adjoint Variable Method for Computational Electromagnetics
Previous Article in Journal
Mathematical Model of Pest Control Using Different Release Rates of Sterile Insects and Natural Enemies
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Mathematics
Volume 10
Issue 6
10.3390/math10060884
mathematics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Ghada A. Altarawneh
1,†,
Ahmad B. Hassanat
2,*,†,
Ahmad S. Tarawneh
3,†,
David Carfì
4,† and
Abdullah Almuhaimeed
5,*,†
1
Department of Accounting, Mutah University, Karak 61710, Jordan
2
Department of Computer Science, Faculty of Information Technology, Mutah University, Karak 61710, Jordan
3
Department of Algorithms and Their Applications, Eotvos Lorand University, 1053 Budapest, Hungary
4
Department of Mathematics, University of California Riverside, Riverside, CA 92521, USA
5
The National Centre for Genomics and Bioinformatics, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Mathematics 2022, 10(6), 884; https://doi.org/10.3390/math10060884
Submission received: 31 January 2022 / Revised: 26 February 2022 / Accepted: 7 March 2022 / Published: 10 March 2022
(This article belongs to the Section C2: Dynamical Systems)
Browse Figures
Review Reports Versions Notes

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 fuzzy logic; economics; win–win situation; win–win negotiations

Share and Cite

MDPI and ACS Style

Altarawneh, G.A.; Hassanat, A.B.; Tarawneh, A.S.; Carfì, D.; Almuhaimeed, A. Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic. Mathematics 2022, 10, 884. https://doi.org/10.3390/math10060884

AMA Style

Altarawneh GA, Hassanat AB, Tarawneh AS, Carfì D, Almuhaimeed A. Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic. Mathematics. 2022; 10(6):884. https://doi.org/10.3390/math10060884

Chicago/Turabian Style

Altarawneh, Ghada A., Ahmad B. Hassanat, Ahmad S. Tarawneh, David Carfì, and Abdullah Almuhaimeed. 2022. "Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic" Mathematics 10, no. 6: 884. https://doi.org/10.3390/math10060884

APA Style

Altarawneh, G. A., Hassanat, A. B., Tarawneh, A. S., Carfì, D., & Almuhaimeed, A. (2022). Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic. Mathematics, 10(6), 884. https://doi.org/10.3390/math10060884

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop