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Modified Fuzzy Model for Selecting Stakeholder Engagement Strategies of the Company Using Generalized Criterion
Author(s) -
К. С. Солодухин
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/272/3/032125
Subject(s) - weighting , ranking (information retrieval) , basis (linear algebra) , mathematics , fuzzy logic , fuzzy number , defuzzification , mathematical optimization , selection (genetic algorithm) , computer science , fuzzy set , data mining , artificial intelligence , medicine , geometry , radiology
The paper proposes a modified fuzzy model for selection of the most appropriate types of engagement strategies of the organization with its different stakeholders. The decision to choose one or another type of strategy is based on fuzzy weighting factors of applicability of the strategies considered as random variables for the most probable scenarios using a fuzzy generalized criterion that combines mathematical expectation and standard deviation. The principal difference of the model from the previously developed ones by the authors is that fuzzy weight factors of strategies applicability are not calculated by the given formulas but are determined on the basis of the given base of fuzzy inference rules. Herewith, when calculating the mathematical expectation and the standard deviation, the weighting factors of strategies applicability are not defuzzificated beforehand. Accordingly, the partial criteria, the generalized criterion, the level of risk tolerance of the decision-maker are fuzzy. In this case, the ranking of strategy types occurs on the basis of various methods for ordering fuzzy numbers.

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