Management Review

Management Review ›› 2022, Vol. 34 ›› Issue (9): 271-284.

• Organization and Strategic Management • Previous Articles     Next Articles

Evaluating Competitiveness of Political Strategy Decision Making Based on FNN-ELECTRE

Liu Kaihua1, Qu Guohua2, Liu Jiao2, Qu Weihua3,4   

  1. 1. School of Management and Economics, Beijing Institute of Technology, Beijing 100081;
    2. School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006;
    3. Institute of Management and Decision, Shanxi University, Taiyuan 030006;
    4. School of Economics and Management, Shanxi University, Taiyuan 030006
  • Received:2020-05-24 Online:2022-09-28 Published:2022-10-28

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Abstract: As an important part of comprehensive national strength, national political strategic decision is becoming increasingly important in the era of globalization. The national political strategic decision mainly depends on the competitiveness of the political strategic decision-making, and its competitiveness has a deep influence on the acquisition and maintenance of the country’s national interests. This paper studies the competitiveness evaluation model of political strategic decision based on fuzzy FNN-ELECTRE. First of all, by referring to the principle of factor neural network theory (FNN) and ELECTRE evaluation, the identifiable factors in the factor space are mapped to the established strategic decision competitiveness index model, so as to enrich the breadth and depth of the application of factor space knowledge. Secondly, on the basis of literature analysis, five factors of strategic decision-making, i.e., economy, culture, society, science & technology and international environment are determined as secondary indicators, and on the basis of expert scoring, the influencing factors are quantified through the triangular fuzzy theory and fuzzy semantics, the importance of each influencing factor is revealed, five countries are analyzed and verified from the perspective of de-fuzzification, the consistency and non-consistency of their attribute values are tested and ranked. Finally, based on the degree of paired differentiation of the indicators in the group decision weighted sample, the preference threshold, indifference threshold and risk threshold of ELECTRE-I are determined. According to the analysis, country a3 has the strongest competitive ability and country a2 has the weakest competitive ability. This paper puts forward the national comprehensive strength evaluation system and countermeasures from the perspective of political strategic decision-making, which provides theoretical basis for a country to improve its comprehensive strength and decision-making competitiveness.

Key words: FNN, fuzzy ELECTRE-I, Hamming distance, political strategic decision