A Multi-attribute Decision Making Method for the Evaluation of Software Enterprise Based on T-Spherical Fuzzy Dombi Aggregation Information

Ullah K., Gul Z., Garg H., Mahmood T.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.714-722 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_82
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.714-722
  • Keywords: Dombi operations, Picture fuzzy set, Dombi aggregation operators, T-spherical fuzzy set, MADM, OPERATORS
  • Yıldız Technical University Affiliated: No


Dealing with uncertain and incomplete information is a challenging task and several fuzzy frameworks have been established.. T-spherical fuzzy set (TSFS) is one of the freshly established models that associate human opinion with a membership grade (MG), abstinence grade (AG), and non-membership grade (NMG). Dombi aggregation operators (DAOs) are widely discussed in several fuzzy frameworks to deal with problems under uncertainty. This manuscript aims to develop the DAOs in a T-spherical fuzzy (TSF) environment. We introduce the notion of Dombi operators for TSFSs and explored their characteristics. The Dombi operations lead us to develop the concepts of DAOs including the TSF Dombi weighted averaging (TSFDWA) and TSF Dombi weighted geometric (TSFDWG) operator. The newly developed DAOs are exemplified numerically. A MADM method is introduced in view of proposed DAOs followed by an illustrative example where the impact of variable parameters q and R is analyzed on ranking results. A comparative survey of the proposed DWOs is set up with previously existing DAOs where the advantages of the newly developed DAOs are discussed.