Fuzzy Multi-Objective Lattice Order Decision Approach for Preference Ranking in Conflict Analysis

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Abstract

Based on conflict analysis and lattice order theory, this paper integrates fuzziness and non-transitivity of the preference, exclusiveness and incommensurability of the objective into conflict analysis, proposes a new fuzzy multi-objective lattice order decision method for preference ranking in conflict analysis. Furthermore, a conflict case study of Chinese enterprise overseas acquisition problem, including two players and complicated preference, is used to illustrate how the proposed method can be applied in practice along with its the feasibility and effectiveness. Conclusions showed that, compared to the traditional preference ranking in conflict analysis, the present method tends to be simpler, easier to reach an alliance and improve the stability of conflict situations. It also can avoid emotional and subjective decision-making, thus making results more rational and objective.

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Guo, Q., & Wang, W. (2016). Fuzzy Multi-Objective Lattice Order Decision Approach for Preference Ranking in Conflict Analysis. International Journal of Computational Intelligence Systems, 9(4), 698–708. https://doi.org/10.1080/18756891.2016.1204118

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