Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology

Authors:
Tolga Kaya;Cengiz Kahraman
Affiliations:
Istanbul Technical University, Department of Management Engineering, 34367 Macka, Istanbul, Turkey;Istanbul Technical University, Department of Industrial Engineering, 34367 Macka, Istanbul, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 2
Cited 8

Extensions of the TOPSIS for group decision-making under fuzzy environment

Fuzzy Sets and Systems
Prioritization of human capital measurement indicators using fuzzy AHP

Expert Systems with Applications: An International Journal

Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP

Expert Systems with Applications: An International Journal
Fuzzy UTASTAR: A method for discovering utility functions from fuzzy data

Expert Systems with Applications: An International Journal
Review: A state-of the-art survey of TOPSIS applications

Expert Systems with Applications: An International Journal
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA

Expert Systems with Applications: An International Journal
A method for the selection of customized equipment suppliers

Expert Systems with Applications: An International Journal
Calibrated fuzzy AHP for current bank account selection

Expert Systems with Applications: An International Journal
Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number

Knowledge-Based Systems
Evaluation of the provincial competitiveness of the Chinese high-tech industry using an improved TOPSIS method

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.06

Visualization

Abstract

Energy planning is a complex issue which takes technical, economic, environmental and social attributes into account. Selection of the best energy technology requires the consideration of conflicting quantitative and qualitative evaluation criteria. When decision-makers' judgments are under uncertainty, it is relatively difficult for them to provide exact numerical values. The fuzzy set theory is a strong tool which can deal with the uncertainty in case of subjective, incomplete, and vague information. It is easier for an energy planning expert to make an evaluation by using linguistic terms. In this paper, a modified fuzzy TOPSIS methodology is proposed for the selection of the best energy technology alternative. TOPSIS is a multicriteria decision making (MCDM) technique which determines the best alternative by calculating the distances from the positive and negative ideal solutions according to the evaluation scores of the experts. In the proposed methodology, the weights of the selection criteria are determined by fuzzy pairwise comparison matrices. The methodology is applied to an energy planning decision-making problem.