TOPSIS for Multi Criteria Decision Making in Octagonal Intuitionistic Fuzzy Environment by Using Accuracy Function
Abstract
Keywords
Fuzzy Numbers (FN’s), Intuitionistic Fuzzy Numbers (IFN’s), Octagonal Intuitionistic Fuzzy Number (OIFN’s), Accuracy Function (AF), TOPSIS
References
- C. Hwang, K. Yoon, Multiple Attribute Decision Making: Methods and Applications, A State-of-the-Art Survey, Springer (1981).
- X. Zhang, P. Liu, Method for Aggregating Triangular Fuzzy Intuitionistic Fuzzy Information and Its Application to Decision Making, Technological and Economic Development of Economy 16(2) (2010) 280-290.
- L. A. Zadeh, Fuzzy Sets, Information and Computation 8(3) (1965) 338-353.
- K. T. Atanassov, Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems 20 (1986) 87-96.
- K. T. Atanassov, More on Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems 33 (1989) 37-46.
- M. Saqlain, N. Jafar, A. Riffat, Smart Phone Selection by Consumers’ İn Pakistan: FMCGDM Fuzzy Multiple Criteria Group Decision Making Approach, Gomal University Journal of Research 34(1) (2018) 27-31
- M. N. Jafar, K. Muniba, A. Saeed, S. Abbas, I. Bibi, Application of Sanchez's Approach to Disease Identification Using Trapezoidal Fuzzy Numbers, International Journal of Latest Engineering Research and Applications 4(9) (2019) 51-57.
- M. Saeed, M. Saqlain, M. Riaz, Application of Generalized Fuzzy TOPSIS in Decision Making for Neutrosophic Soft set to Predict the Champion of FIFA 2018: A Mathematical Analysis, Punjab University Journal of Mathematics 51(8) (2019) 111-126. M. Saqlain, N. Jafar, R. Hamid, A. Shahzad, Prediction of Cricket World Cup 2019 by TOPSIS Technique of MCDM-A Mathematical Analysis, International Journal of Scientific & Engineering Research 10(2) (2019) 789-792.
- M. Saqlain, M. Saeed, M. R. Ahmad, F. Smarandache, Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application, Neutrosophic Sets and Systems 27 (2019) 131-137.
- P. Rajarajeswari, G. Menaka, A New Approach for Ranking of Octagonal Intuitionistic Fuzzy Numbers, International Journal of Fuzzy Logic Systems (2017), http://doi.org/ 10.5072/zenodo