DeepAI AI Chat
Log In Sign Up

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

12/13/2021
by   Ahmad B. Hassanat, et al.
0

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 Iranian uranium enrichment negotiations, 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

09/29/2022

A note on the potentials of probabilistic and fuzzy logic

This paper mainly focuses on (1) a generalized treatment of fuzzy sets o...
04/07/2014

Thou Shalt is not You Will

In this paper we discuss some reasons why temporal logic might not be su...
09/20/2012

Applicability of Crisp and Fuzzy Logic in Intelligent Response Generation

This paper discusses the merits and demerits of crisp logic and fuzzy lo...
10/13/2016

A Fuzzy Logic System to Analyze a Student's Lifestyle

A college student's life can be primarily categorized into domains such ...
05/21/2014

Robust Fuzzy corner detector

Reliable corner detection is an important task in determining the shape ...
02/03/2020

Improving the Evaluation of Generative Models with Fuzzy Logic

Objective and interpretable metrics to evaluate current artificial intel...