Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic
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Abstract (arXiv)
The classic win-win has a key flaw in that it cannot offer the parties the 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 negotiations 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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 119 references that are in the map. First posted on arXiv 13 Dec 2021.
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References · 3
- 2018Deep Face Image Retrieval: a Comparative Study with Dictionary Learningcited by 4
- 2018Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Studycited by 3
- 2018Greedy Algorithms for Approximating the Diameter of Machine Learning Datasets in Multidimensional Euclidean Spacecited by 1
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