2015
DOI: 10.1109/tfuzz.2014.2333065
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A Parameterized Nonlinear Programming Approach to Solve Matrix Games With Payoffs of I-Fuzzy Numbers

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Cited by 66 publications
(25 citation statements)
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“…The collective score of doctors ( ) = (0.55, 0.68, 0.53, 0.55, 0.47, 0.59, 0.50, 0.68, 0.48, 0.51) and can be determined by solving Step 6. Furthermore, the final total ranking = (2,8,6,4,1,3,10,7,9,5) is the ranking of the ten doctors. And we could get that the doctor has the best quality of service from the order.…”
Section: Illustrative Examplementioning
confidence: 99%
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“…The collective score of doctors ( ) = (0.55, 0.68, 0.53, 0.55, 0.47, 0.59, 0.50, 0.68, 0.48, 0.51) and can be determined by solving Step 6. Furthermore, the final total ranking = (2,8,6,4,1,3,10,7,9,5) is the ranking of the ten doctors. And we could get that the doctor has the best quality of service from the order.…”
Section: Illustrative Examplementioning
confidence: 99%
“…And we could get that the doctor has the best quality of service from the order. However, if we only consider the evaluation value without the balance of two dimensions, the final ranking is = (2,8,6,9,10,3,4,1,7,5).…”
Section: Illustrative Examplementioning
confidence: 99%
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“…Recently, there are some investigations on fuzzy matrix games( [4], [17], [18]), rough matrix games ( [29]), and stochastic differential games ( [22]). In the future we will extend the generalized solidarity value to the cooperative games under the above uncertain environments, such as cooperative games with coalitions' values represented by fuzzy sets, rough sets or stochastic variables.…”
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confidence: 99%