A new decision approach for the sustainable transport investment selection based on the generalized entropy and knowledge measure under an interval-valued Pythagorean fuzzy environment

Abstract

Finding the most suitable transport project is one of the most important tasks of transport planning. This task gets more complicated as the sustainable criteria get involved. In this paper, a new method of multi-criteria group decision-making with unknown attribute and expert weights is proposed to address the sustainable transport investment selection problem. To make the method more powerful in dealing with uncertain elements, an Interval-Valued Pythagorean Fuzzy (IVPF) set is used as a useful tool to handle uncertainty. First, a generalized entropy measure under an IVPF environment is introduced, which enables the method to determine the fuzziness of the attribute values, which are expressed by Interval-Valued Pythagorean Fuzzy Numbers (IVPFNs). To determine the fuzziness of IVPFNs with identical membership and nonmembership degrees, a generalized knowledge measure of the IVPFNs is also introduced. Based on this measure and considering the deviation among attribute assessments, a new optimization model is presented to obtain unknown attribute weights. In addition, based on the extension of the VIKOR method, a novel algorithm is introduced to determine the unknown expert weights. Finally, to show the efficiency of the proposed methods a real case study is considered. Technology where he taught several graduate and under graduate courses, supervised 8 PhD and more than 65 master students. Prof. Hashemi's area of research includes Graph Theory and Applications, Algorithm and Complexity, Network and Combinatorial Optimization, Operation Research, and Transportation Systems, in which he has published more than 150 peer reviewed journal and conference papers presented nationally and internationally. Hashemi was involved in several industrial projects including design and managing the enterprise application safety systems, designing integrated public transportation network for Tehran, introducing the BRT system in collaboration with ITDP (Institute for Transportation and Development) and Iranian national ITS Architecture. Prof. Hashemi has held various academic positions including Dean of He has obtained the outstanding rank as the top 1% scientist and researcher in the world elite 32 group since 2014. He has published 4 books, 23 book chapters, and more than 1000 journal and conference papers.

A single-valued neutrosophic decision framework for the assessment of sustainable transport investment projects based on discrimination measure

“…The criteria considered for assessment are based on a comprehensive review of various recent studies (Salling and Pryn, 2015, Mohagheghi et al. , 2017 and Aghamohagheghi et al. , 2021) on sustainability perspectives.…”

“…The benefit-type attributes are A 1 (investment return), A 3 (reduction in costs), A 4 (security), A 5 (affordability), A 6 (employment), A 7 (basic accessibility), A 8 (GHG emissions), A 9 (climate and global warming) and A 10 (resource efficiency). The criteria considered for assessment are based on a comprehensive review of various recent studies (Salling and Pryn, 2015, Mohagheghi et al, 2017and Aghamohagheghi et al, 2021 on sustainability perspectives. The cost-type attribute is A 2 (financial risk).…”

Identifying required project managers’ core competencies in complex product systems using project complexity assessment: A case study in Iran's oil and gas R&D projects

“…This problem can be transformed into a multi-criteria decision-making problem where the alternatives are the candidate projects, and the criteria are the project complexity drivers. Given the inherent ambiguity in the concept of project complexity and the uncertainties in its drivers, the input data for the factors affecting complexity drivers can be quantified using fuzzy numbers as a feasible method [48].…”

New entropy propositions for interval‐valued spherical fuzzy sets and their usage in an extension of ARAS (ARAS‐IVSFS)

“…Wei and Zhang (2015) developed an entropy for IVIFSs based on the cosine function. Biswas and Sarkar (2019) defined entropy for PFS while Peng and Li (2019) and Aghamohagheghi et al (2021) introduced their distinctive entropy definitions for interval‐valued PFS (IVPFS). Aydoğdu (2015) presented an entropy for interval‐valued NS (IVNS).…”