A Group Decision Framework for Renewable Energy Source Selection under Interval-Valued Probabilistic linguistic Term Set

Raghunathan Krishankumar, Arunodaya Raj Mishra, Kattur Soundarapandian Ravichandran, Xindong Peng, Edmundas Kazimieras Zavadskas, Fausto Cavallaro and Abbas Mardani
Additional contact information
Raghunathan Krishankumar: School of Computing, SASTRA University, Thanjavur, Tamil Nadu 613401, India
Arunodaya Raj Mishra: Department of Mathematics, Govt. College Jaitwara, Satna Madhya Pradesh 485211, India
Kattur Soundarapandian Ravichandran: School of Computing, SASTRA University, Thanjavur, Tamil Nadu 613401, India
Xindong Peng: School of Information Science & Engineering, Shaoguan University, Shaoguan 512005, China
Edmundas Kazimieras Zavadskas: Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, 10221 Vilnius, Lithuania
Fausto Cavallaro: Department of Economics, University of Molise, Via Francesco De Sanctis, 86100 Campobasso, Italy

Energies, 2020, vol. 13, issue 4, 1-25

Abstract: In recent years, the assessment of desirable renewable energy alternative has been an extremely important concern that could change the environment and economic growth. To tackle the circumstances, some authors have paid attention to selecting the desirable renewable energy option by employing the decision-making assessment and linguistic term sets. With a fast-growing interest in multi-criteria group decision-making (MCGDM) problems, researchers are tirelessly working towards new techniques for better decision-making. Decision makers (DMs) generally rate alternatives linguistically with different probabilities occurring for each term. Previous studies on linguistic decision-making have either ignored this idea or have used an only a single value for representing the weight of the linguistic term. Since expression of the complete probability distribution is hard and implicit hesitation exists, representation of weights of the linguistic terms using a single value becomes imprecise and unreasonable. To avoid this challenge, an interval-valued probabilistic linguistic term set (IVPLTS) is used, which is a generalization of (probabilistic linguistic term set) PLTS. Inspired by the usefulness of IVPLTS concept, we develop a decision framework for rational decision making. Initially, some operational laws and axioms are presented. Further, a novel aggregation operator known as interval-valued probabilistic linguistic simple weighted geometry (IVPLSWG) is developed for aggregating DMs’ preferences. Also, criteria weights are determined using the newly developed interval-valued probabilistic linguistic standard variance (IVPLSV) approach and alternatives are ranked using the extended VIKOR (VlseKriterijumskaOptimizacijaKompromisnoResenje) method under IVPLTS environment. Finally, a numerical example of renewable energy assessment is demonstrated to show the practicality of the developed decision framework. Also, the strengths and weaknesses of the developed decision framework are illustrated by comparison with existing ones.

Keywords: group decision making; probabilistic linguistic term set; interval numbers; VIKOR; renewable energy policy selection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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