Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic
Abstract
:1. Introduction
- Covey defines win–win as “a frame of mind and heart that constantly seeks mutual benefit in business and personal transactions” [29].
- Nalis et al. define win–win solutions as “outcomes of interpersonal behavior that exceed the outcomes that each participant could achieve alone” [30].
- Fujita et al. define win–win as “ideas that might give both parties most of what they want” [31].
- Thompson and Gonzales regard a “win–win outcome to be one that is efficient—meaning that there is no other outcome parties could reach that at least one party would prefer without reducing the other party’s utility” [32].
- Brooks defines win–win as “success in two or more of the outcomes measured (ecological, economic, social) and “tradeoffs” are defined as some combination of success, limited success, or failure” [33].
- Bottos, and Coleman define a win–win outcome in any negotiation as “the outcome that makes both parties feel as though they have benefited from the discussion” [34].
- Carbonara et al. concluded that win–win refers to the capacity to meet the diverse interests of the parties involved by assuring their profit demands while also fairly allocating risk among them [35].
- 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].
- Willing et al. define win–win as “the approach that seeks a mutually beneficial outcome, resulting in mutual cooperation and joint commitment in its implementation” [40].
- Blount defines win–win as “the warm blanket of delusion where your commission check and your company’s profits curl up to die” [41].
- Dor defines win–win as “the art of winning while letting the other side think that they have won as well” [42].
- Recently, Zhang et al. defined win–win as “the realization of maximizing the interests of both sides, which is a harmonious development with mutual benefits” [43].
- Separating people from the problem;
- Focusing on interests, not positions;
- Inventing options for mutual gain; and
- Using objective criteria
- It is not an oxymoron; thus, it more accurately represents the desired situation.
- It is not a competitive metaphor because it emphasizes fulfilment instead of competitiveness.
- It is relational rather than transactional in nature.
- Because it depicts an emotion, it focuses on the process rather than an objective end.
- It signifies that the negotiating process is ongoing and does not come to an end in a specific circumstance.
Research Gap, Motivation and Objective
2. The Proposed Fuzzy Win–Win Model
- The product’s initial cost price ().
- The negotiation results in selling the product at price P, which is the selling price at which the deal is consummated.
- The seller’s wanted price, or simply the seller price ()—normally this price is the fair market price of the product measured at the same time of the negotiated deal.
- Lose-win situation, starting from until .
- Fuzzy win–win situation, starting from until , the so-called zone of possible agreement (ZOPA).
- Win-lose situation, starting from until .
3. Results and Discussion
3.1. Toy Example
- (Q1)
- If the share is sold for P, what is the winning percentage for each of and ?
- (Q2)
- If the CEO of wants to achieve a specific winning percentage out of this deal, at what price should sell its shares?
3.2. Real-World Case 1: Current Iraqi–Jordanian Oil Deal
3.3. Real-World Case 2: International Iron Ore Negotiations (2005–2009)
- 2005 negotiations: price increase, SP = 90% price increase, and P = 71.5% price increase.
- 2006 negotiations: price increase, SP = 24% price increase, and P = 19% price increase.
- 2007 negotiations: price increase, SP = 10% price increase, and P = 9.5% price increase.
- 2008 negotiations: price increase (as we assumed that the buyers’ negotiator came with a 10% increase in mind, like that of the previous year), price increase, and price increase. For the other type of the ore; price increase.
- 2009 negotiations: price decrease (as we assumed that the seller’s negotiator came with a 0% decrease in mind, as they used to increase the price of the ore in the previous years), price decrease, and price decrease, and price decrease of the other type of ore.
3.4. Game Theory
- (Q1) If the Game ended with 50 moves, what is the fuzzy win–win situation for each of the players? The model response: The novice’s win–win percentage is 32%, whereas the grandmaster’s win–win percentage is 68%.
- (Q2) If the novice player wants to achieve a 60% winning percentage out of his/her game, in what number of moves should he/she lose the game? The model response: the novice’s number of moves is 61.
- (Q3) If the grandmaster wants to achieve 60% wining out of his/her game, in what number of moves should he/she win the game? The model response: the grandmaster’s number of moves is 53.
3.5. Conceptual Comparison to the Traditional Win–Win Approach
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Share Price | C2-SWP | C1-BWP | ||
---|---|---|---|---|
33 | 0% | 100% | 33 | 33 |
35 | 6% | 94% | 35 | 35 |
37 | 12% | 88% | 37 | 37 |
39 | 18% | 82% | 39 | 39 |
41 | 24% | 76% | 41 | 41 |
43 | 30% | 70% | 43 | 43 |
45 | 36% | 64% | 45 | 45 |
47 | 42% | 58% | 47 | 47 |
49 | 48% | 52% | 49 | 49 |
51 | 55% | 45% | 51 | 51 |
53 | 61% | 39% | 53 | 53 |
55 | 67% | 33% | 55 | 55 |
57 | 73% | 27% | 57 | 57 |
59 | 79% | 21% | 59 | 59 |
61 | 85% | 15% | 61 | 61 |
63 | 91% | 9% | 63 | 63 |
65 | 97% | 3% | 65 | 65 |
Date | Production Cost | Brent International Price | Jordan Buying Price | Iraq SWP | Jordan BWP | Iraq Wins More | Jordan Wins More |
---|---|---|---|---|---|---|---|
December 30 | 10.57 | 68.44 | 52.44 | 72% | 28% | 🗸 | |
January 6 | 10.57 | 68.91 | 52.91 | 73% | 27% | 🗸 | |
January 13 | 10.57 | 64.2 | 48.2 | 70% | 30% | 🗸 | |
January 21 | 10.57 | 64.59 | 48.59 | 70% | 30% | 🗸 | |
January 27 | 10.57 | 59.32 | 43.32 | 67% | 33% | 🗸 | |
February 3 | 10.57 | 54.45 | 38.45 | 64% | 36% | 🗸 | |
February 10 | 10.57 | 53.27 | 37.27 | 63% | 37% | 🗸 | |
February 18 | 10.57 | 57.75 | 41.75 | 66% | 34% | 🗸 | |
February 24 | 10.57 | 56.3 | 40.3 | 65% | 35% | 🗸 | |
March 2 | 10.57 | 51.9 | 35.9 | 61% | 39% | 🗸 | |
March 6 | 10.57 | 45.27 | 29.27 | 54% | 46% | 🗸 | |
March 10 | 10.57 | 37.22 | 21.22 | 40% | 60% | 🗸 | |
March 16 | 10.57 | 30.05 | 14.05 | 18% | 82% | 🗸 | |
March 24 | 10.57 | 27.15 | 11.15 | 3% | 97% | 🗸 | |
March 30 | 10.57 | 22.76 | 6.76 | 0% | 100% | 🗸 | |
April 7 | 10.57 | 31.87 | 15.87 | 25% | 75% | 🗸 | |
April 14 | 10.57 | 29.6 | 13.6 | 16% | 84% | 🗸 | |
April 20 | 10.57 | 25.57 | 9.57 | 0% | 100% | 🗸 | |
April 28 | 10.57 | 20.46 | 4.46 | 0% | 100% | 🗸 | |
May 4 | 10.57 | 27.2 | 11.2 | 4% | 96% | 🗸 | |
May 11 | 10.57 | 29.63 | 13.63 | 16% | 84% | 🗸 | |
May 18 | 10.57 | 34.81 | 18.81 | 34% | 66% | 🗸 | |
May 26 | 10.57 | 35.53 | 19.53 | 36% | 64% | 🗸 | |
Jun 1 | 10.57 | 38.32 | 22.32 | 42% | 58% | 🗸 | |
Jun 8 | 10.57 | 40.8 | 24.8 | 47% | 53% | 🗸 | |
Jun 15 | 10.57 | 39.72 | 23.72 | 45% | 55% | 🗸 | |
Jun 22 | 10.57 | 43.08 | 27.08 | 51% | 49% | 🗸 | |
Jun 29 | 10.57 | 41.71 | 25.71 | 49% | 51% | 🗸 | |
July 6 | 10.57 | 43.1 | 27.1 | 51% | 49% | 🗸 | |
July 13 | 10.57 | 42.72 | 26.72 | 50% | 50% | 🗸 | 🗸 |
July 20 | 10.57 | 43.28 | 27.28 | 51% | 49% | 🗸 | |
July 27 | 10.57 | 43.41 | 27.41 | 51% | 49% | 🗸 | |
August 3 | 10.57 | 44.15 | 28.15 | 52% | 48% | 🗸 | |
August 10 | 10.57 | 44.99 | 28.99 | 54% | 46% | 🗸 | |
August 17 | 10.57 | 45.37 | 29.37 | 54% | 46% | 🗸 | |
August 24 | 10.57 | 45.13 | 29.13 | 54% | 46% | 🗸 | |
August 31 | 10.57 | 42.61 | 26.61 | 50% | 50% | 🗸 | 🗸 |
September 8 | 10.57 | 39.78 | 23.78 | 45% | 55% | 🗸 | |
September 14 | 10.57 | 39.61 | 23.61 | 45% | 55% | 🗸 | |
September 21 | 10.57 | 41.44 | 25.44 | 48% | 52% | 🗸 | |
September 28 | 10.57 | 42.43 | 26.43 | 50% | 50% | 🗸 | 🗸 |
October 5 | 10.57 | 41.29 | 25.29 | 48% | 52% | 🗸 | |
October 12 | 10.57 | 41.72 | 25.72 | 49% | 51% | 🗸 | |
October 19 | 10.57 | 42.62 | 26.62 | 50% | 50% | 🗸 | 🗸 |
October 26 | 10.57 | 40.46 | 24.46 | 46% | 54% | 🗸 | |
November 2 | 10.57 | 38.97 | 22.97 | 44% | 56% | 🗸 | |
November 9 | 10.57 | 42.4 | 26.4 | 50% | 50% | 🗸 | 🗸 |
November 16 | 10.57 | 43.62 | 27.62 | 52% | 48% | 🗸 | |
November 23 | 10.57 | 46.06 | 30.06 | 55% | 45% | 🗸 | |
November 30 | 10.57 | 47.59 | 31.59 | 57% | 43% | 🗸 | |
Avg | 45% | 55% | 27 | 28 |
Year | CP | SP | P | SWP | BWP | Sellers Win More | Buyers Win More |
---|---|---|---|---|---|---|---|
2005 | 50% | 90% | 71.5% | 54% | 46% | 🗸 | |
2006 | 10% | 24% | 19.0% | 64% | 36% | 🗸 | |
2007 | 5% | 10% | 9.5% | 90% | 10% | 🗸 | |
2008 Southern ore | 10% | 70% | 65.0% | 92% | 8% | 🗸 | |
2008 Northern ore | 10% | 70% | 71.0% | 100% | 0% | 🗸 | |
2009 Southern ore | 0% | 45% | 33.0% | 27% | 73% | 🗸 | |
2009 Northern ore | 0% | 45% | 44.0% | 2% | 98% | 🗸 | |
Average | 12% | 51% | 45% | 61% | 39% | 5 | 2 |
Case | Fuzzy Win–Win Result | Traditional Win–Win Result |
---|---|---|
Iraqi–Jordanian current oil deal | Iraq is 45% winner Jordan is 55% winner | Both sides are winners |
International Iron Ore Negotiations (2005–2008) | Sellers are 61% winners Buyers are 39% winners | Both sides are winners |
International Iron Ore Negotiations (2009) | Sellers are 14.5% winners, Buyers are 85.5% winners | Both sides are winners |
Chess Grandmaster wins against a novice after 50 moves | Grandmaster is 68% winner Novice is 32% winner | Both sides are winners |
Chess Grandmaster wins against a novice after 75 moves | Grandmaster is 3% winner Novice is 97% winner | Both sides are winners |
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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
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 StyleAltarawneh, 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 StyleAltarawneh, 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