A New Fuzzy Weighted Based Computation for Environmental Performance: A Case of ASEAN Countries
نویسنده
چکیده
Environmental Performance Index (EPI) has been introduced since 2006 to depict the environmental performance for most of the countries in the world. The index considers ten policy categories associated with environmental public health and ecosystem sustainability. The main mathematics operation in establishing EPI is arithmetic mean of all ten policy categories. However, this operation carries a potential disadvantage as it may neglects some extreme values in policy categories data and also employs equal weight for policy categories in obtaining EPI scores. To illustrate the issue of weight in computing environmental performance, this paper proposes intuitionistic fuzzy entropy weight method in calculating environmental performance to determine the weight of country and compares the weight of EPI as computed by the proposed weighted-based fuzzy entropy with the proximity to target formula and a decision making method. The original data of EPI among nine ASEAN countries are selected to illustrate the computation. The entropy weight of country and dual memberships of intuitionistic fuzzy sets are considered as the important properties in this computation. A new weight of EPI among ASEAN countries show that Singapore is the best country in environmental performance followed by Brunei. The proposed method may offer an alternative measure in evaluating environmental performance particularly for ASEAN countries. Key-Words: Environmental sustainability, Environmental Performance Index, weight entropy, ASEAN countries, intuitionistic fuzzy entropy.
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