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- W2770036610 abstract "Environmental Performance Index (EPI) is used to rank the performance in environment protection for most of the countries in the world. EPI is a score which gives a gauge at a national government scale using the method of proximity-to-target value. The current method fails to consider incomplete and vague environment data in its computations. This paper proposes a new score of EPI using a decision making method of interval-valued intuitionistic fuzzy TOPSIS. Differently from the typical arithmetic operations of the proximity-to-target value, which directly used subtraction and division, this method introduces the concept of distance to ideal solution based on the decision makers’ assessments. A case of eleven countries in Southeast Asia region was considered to illustrate the computations. Three decision makers were invited to rate the extent of a country performs against the specific environmental criteria using the defined linguistic variables. An interval-valued intuitionistic fuzzy decision matrix was constructed based on dual degree of membership elicited from decision makers’ assessment. The closeness coefficient that represents a score for each country was finally established after executing the five-step computation. With the closeness coefficient of 0.8028, Malaysia was the best EPI among the selected countries. The method successfully offers a new score of EPI and subsequently managed to identify the countries’ environmental performance." @default.
- W2770036610 created "2017-12-04" @default.
- W2770036610 creator A5051424885 @default.
- W2770036610 date "2017-01-01" @default.
- W2770036610 modified "2023-09-23" @default.
- W2770036610 title "A Fuzzy Decision Making Method in Developing Environmental Performance Index" @default.
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