@Article{cmes.2023.027844,
AUTHOR = {Mohammed M. Ali Al-Shamiri, Ghous Ali, Muhammad Zain Ul Abidin, Arooj Adeel},
TITLE = {Multi-Attribute Group Decision-Making Method under Spherical Fuzzy Bipolar Soft Expert Framework with Its Application},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {137},
YEAR = {2023},
NUMBER = {2},
PAGES = {1891--1936},
URL = {http://www.techscience.com/CMES/v137n2/53362},
ISSN = {1526-1506},
ABSTRACT = {Spherical fuzzy soft expert set (SFSES) theory blends the perks of spherical fuzzy sets and group decision-making
into a unified approach. It allows solutions to highly complicated uncertainties and ambiguities under the unbiased
supervision and group decision-making of multiple experts. However, SFSES theory has some deficiencies such
as the inability to interpret and portray the bipolarity of decision-parameters. This work highlights and overcomes
these limitations by introducing the novel spherical fuzzy bipolar soft expert sets (SFBSESs) as a powerful hybridization of spherical fuzzy set theory with bipolar soft expert sets (BSESs). Followed by the development of certain
set-theoretic operations and properties of the proposed model, important problems, including the selection of
non-powered dam (NPD) sites for hydropower conversion are discussed and solved under the proposed approach.
These problems mainly focus on the need for an efficient tool capable of considering the bipolarity of parameters,
complicated ambiguities, and multiple opinions. Supporting the new approach by a detailed comparative analysis,
it is concluded that the proposed model is more comprehensive and reliable for multi-attribute group decisionmaking (MAGDM) than the previous tools, particularly considering the bipolarity of parameters under SFSES
environment.},
DOI = {10.32604/cmes.2023.027844}
}