Title: Best criteria selection based PROMETHEE II to aid decision-making under 2-tuple linguistic framework: case-study of the most energy efficient region worldwide
Authors: Anjali Singh; Anjana Gupta
Addresses: Department of Applied Mathematics, Delhi Technological University, Bawana Road, Rohini, Delhi, India ' Department of Applied Mathematics, Delhi Technological University, Bawana Road, Rohini, Delhi, India
Abstract: In this paper, a new methodology, inspired by the PROMETHEE II method, is proposed to analyse and elucidate the decision making problems under the 2-tuple linguistic framework. The approach primarily gives prominence to decision problems with a large number of alternatives and criteria. The featuring essence of the algorithm is extraneity of the criteria weights, an imperative prerequisite for linguistic PROMETHEE II method. A case study to examine the energy efficiency of eight regions worldwide based on numerous energy efficiency indicators, as reported in World Energy Council (WEC) 8th triennial report on energy efficiency policies, is explored under the 2-tuple linguistic framework to manifest the applicability of the proposed methodology. The validity of the acquired rank of the regions is ascertained from the outlook of rank correlation coefficient. The algorithm evinces high correlation with prominent extant multi-criteria decision making (MCDM) methods to indicate the efficacy and competency of the proposed method.
Keywords: multi-criteria decision-making; MCDM; energy efficiency; 2-tuple linguistic variable; spearmen rank correlation coefficient; PROMETHEE II.
International Journal of Management and Decision Making, 2020 Vol.19 No.1, pp.44 - 65
Available online: 16 Dec 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article