The seven personal habits of highly effective dietitians

The classic win-win has a key flaw in that it cannot offer the parties with right amounts of winning because 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 the iron ore negotiation (2005-2009). The presented model has shown to be a useful tool in practice and can be easily generalized to be utilized in other domains as well.

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“…• Smith et al define win-win as "the idea that one person's success is not achieved at the expense or exclusion of the success of others" [59].…”

Section: Introductionmentioning

confidence: 99%

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

Hassanat

Altarawneh

Tarawneh

et al. 2022

Preprint

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“…Ekermo defines win-win as "the theoretical possibility of finding mutually beneficial solutions for economy and environment" [36]. • Smith et al define win-win as "the idea that one person's success is not achieved at the expense or exclusion of the success of others" [37]. • Engler defines win-win as "a fair distribution of the efforts of the collaboration and the results" [38] • Moon and Dathe-Douglass defines win-win as "the only rational way for a leader to think" [39].…”

mentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

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.

show abstract