퍼지 TOPSIS를 이용한 에너지 선택 우선순위 결정
Priority Decision for Energy Selection Using Fuzzy TOPSIS
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초록
This paper is aimed to present a fuzzy decision-making approach to deal with optimal energy selection problem forenergy strategy planning. An evaluation method was derived on TOPSIS, to assist in the energy priority decision in a fuzzyenvironment where the subjectivity and vagueness are handled with linguistic terms parameterized by triangle fuzzy numbers. Thispaper applies the fuzzy TOPSIS method to determine the importance weight of decision criteria and to synthesize the ratings ofcandidate energy alternatives. This method was demonstrated with a case study involving 7 evaluation criteria (efficiency, safety,investment cost, operation and maintenance, pollution emission, land use, social acceptability), 10 energy alternatives (solar, nuclear,wind, tidal, waste gasification, biomass, hydropower, coal, petroleum, LNG) for energy selection problem assessed by 7 evaluatorsfrom energy related institutes. In the perspective of 7 evaluation criteria, 10 energy alternatives are preferred according to solar ( )≻ wind ( )≻ biomass ( ) ≻ hydropower ( ) ≻ LNG ( ) ≻ tidal () ≻ petroleum ( ) ≻ waste gasification ( ) ≻nuclear ( ) ≻ coal ( ). This study shows that the proposed approach is well suited as a group decision-making method for energyselection decisions.
Abstract
This paper is aimed to present a fuzzy decision-making approach to deal with optimal energy selection problem forenergy strategy planning. An evaluation method was derived on TOPSIS, to assist in the energy priority decision in a fuzzyenvironment where the subjectivity and vagueness are handled with linguistic terms parameterized by triangle fuzzy numbers. Thispaper applies the fuzzy TOPSIS method to determine the importance weight of decision criteria and to synthesize the ratings ofcandidate energy alternatives. This method was demonstrated with a case study involving 7 evaluation criteria (efficiency, safety,investment cost, operation and maintenance, pollution emission, land use, social acceptability), 10 energy alternatives (solar, nuclear,wind, tidal, waste gasification, biomass, hydropower, coal, petroleum, LNG) for energy selection problem assessed by 7 evaluatorsfrom energy related institutes. In the perspective of 7 evaluation criteria, 10 energy alternatives are preferred according to solar ( )≻ wind ( )≻ biomass ( ) ≻ hydropower ( ) ≻ LNG ( ) ≻ tidal () ≻ petroleum ( ) ≻ waste gasification ( ) ≻nuclear ( ) ≻ coal ( ). This study shows that the proposed approach is well suited as a group decision-making method for energyselection decisions.
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