Book:
Lecture Notes on Data Engineering and Communications Technologies
(Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 2)
Volume 145
(2022),
p. 680
Spherical Fuzzy Linear Assignment with Objective Weighting Concept in the Sustainable Supply Chain of Aviation Fuel
Book:
Lecture Notes in Networks and Systems
(Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation)
Volume 308
(2022),
p. 766
Pub. online:25 Nov 2021Type:Research ArticleOpen Access
Journal:Informatica
Volume 33, Issue 3 (2022), pp. 437–476
Abstract
The theory of T-spherical fuzzy (T-SF) sets possesses remarkable capability to manage intricate uncertain information. The REGIME method is a well-established technique concerning discrete choice analysis. This paper comes up with a multiple-criteria choice analysis approach supported by the REGIME structure for manipulating T-SF uncertainties. This paper constructs new-created measurements such as superiority identifiers and guide indices for relative attractiveness and fittingness, respectively, between T-SF characteristics. This study evolves the T-SF REGIME I and II prioritization procedures for decision support. The application and comparative studies exhibit the effectiveness and favorable features of the propounded T-SF REGIME methodology in real decisions.
A T-spherical fuzzy ELECTRE approach for multiple criteria assessment problem from a comparative perspective of score functions
Journal:
Journal of Intelligent & Fuzzy Systems
Volume 41,
Issue 2
(2021),
p. 3751
A point operator-driven approach to decision-analytic modeling for multiple criteria evaluation problems involving uncertain information based on T-spherical fuzzy sets