A Desirability Function-Based Relatively Optimal Interval Core Model and an Algorithm for Fuzzy Profit Allocation Problems of Enterprise Strategy Alliance

DOI

10.2991/ijcis.2015.8.1.1How to use a DOI?

Keywords

Enterprise strategic alliance, cooperation games, fuzzy cooperation games, fuzzy decision-making, desirability function

Abstract

Enterprise strategic alliance is a win-win business competition mode that has been developed in both academia and industry. How to allocate total profit fairly in an uncertain environment, however, is an important factor affecting the stability of the strategic alliance. To handle this problem, this paper proposes a new interval number ranking method based on synthesis effect function in which four basic principles to construct an appropriate synthesis effect function are developed. Using the new interval number ranking method, this paper defines a new concept of interval core. The necessary and sufficient condition to guarantee that the interval core is nonempty is also discussed and addressed using a special kind of additive synthesis effect function. A relatively optimal interval core model and an algorithm are developed to solve the proposed fuzzy allocation problem. Finally, a case study is presented to validate the proposed model and algorithm. Data analysis shows that we can obtain the only fuzzy allocation result by choosing an appropriate desirability function. The result indicates that our model has better operability and interpretability than existing methods, and thus can serve as a guideline for developing different fuzzy allocation methods.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Fei Guan
AU  - Qiang Zhang
PY  - 2015
DA  - 2015/01/01
TI  - A Desirability Function-Based Relatively Optimal Interval Core Model and an Algorithm for Fuzzy Profit Allocation Problems of Enterprise Strategy Alliance
JO  - International Journal of Computational Intelligence Systems
SP  - 1
EP  - 13
VL  - 8
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2015.8.1.1
DO  - 10.2991/ijcis.2015.8.1.1
ID  - Guan2015
ER  -