Fuzzy similarity function for ranking river basin planning alternatives

Abstract A fuzzy evaluation method is proposed for the ranking of the river basin planning and development alternatives. The ranking of the alternatives involves subjectivity, vague and imprecise information is determined by utilizing the application of fuzzy membership sets and approximate reasoning. The method automatically generates membership function to develop the multicriteria combination rule. The aim of utilizing this rule is to capture the main criteria that exist in the alternatives. It is found that membership functions derived from the data explain the data pattern in a better way.

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