Geometric operators based on linguistic interval-valued intuitionistic neutrosophic fuzzy number and their application in decision making

Document Type : Original Article

Authors

1 School of Mathematics, Management Department, The University of Faisalabad, Faisalabad, Pakistan

2 Department of Mathematics, Hazara University Mansehra, Pakistan

Abstract

The paper aims to give some new kinds of operational laws named as neutrality addition and scalar multiplication for the pairs of linguistic interval-valued intuitionistic neutrosophic fuzzy number. The main idea behind these operations is to include the linguistic interval-valued intuitionistic neutrosophic fuzzy number of the decision-maker and score function. We define the linguistic interval-valued intuitionistic neutrosophic fuzzy number and operational laws. We introduce the three geometric operators including, linguistic interval-valued intuitionistic neutrosophic fuzzy weighted geometric operator, linguistic interval-valued intuitionistic neutrosophic fuzzy ordered weighted geometric operator and linguistic interval-valued intuitionistic neutrosophic fuzzy weighted hybrid geometric operatorl. Finally, a multiattribute group decision-making approach based on the proposed operators is presented and investigated with numerous numerical examples.

Keywords


Smarandache, F. (1999). A unifying field in Logics: Neutrosophic Logic. In Philosophy (pp. 1-141). American Research Press.‏
Wang, H., Smarandache, F., Sunderraman, R., & Zhang, Y. Q. (2005). interval neutrosophic sets and logic: theory and applications in computing: Theory and applications in computing (Vol. 5). Infinite Study.‏
Wang, H., Smarandache, F., Zhang, Y., & Sunderraman, R. (2010). Single valued neutrosophic sets. Infinite study.‏
Ye, J. (2014). Single valued neutrosophic cross-entropy for multicriteria decision making problems. Applied Mathematical Modelling, 38(3), 1170-1175.‏
Broumi, S., Ye, J., & Smarandache, F. (2015). An extended TOPSIS method for multiple attribute decision making based on interval neutrosophic uncertain linguistic variables. Infinite Study.‏
Ye, J. (2014). Similarity measures between interval neutrosophic sets and their applications in multicriteria decision-making. Journal of Intelligent & Fuzzy Systems, 26(1), 165-172.‏
Ye, J. (2014). A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. Journal of Intelligent & Fuzzy Systems, 26(5), 2459-2466.‏
Herrera, F., & Herrera-Viedma, E. (1996). A model of consensus in group decision making under linguistic assessments. Fuzzy sets and Systems, 78(1), 73-87.‏
Herrera, F., & Herrera-Viedma, E. (2000). Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets and systems, 115(1), 67-82.‏
Xu, Z. (2006). A note on linguistic hybrid arithmetic averaging operator in multiple attribute group decision making with linguistic information. Group Decision and Negotiation, 15(6), 593-604.‏
Wang, J. Q., & Li, J. J. (2009). The multi-criteria group decision making method based on multi-granularity intuitionistic two semantics. Science & Technology Information, 33(1), 8-9.‏
Garg, H., & Kumar, K. (2019). Linguistic interval-valued atanassov intuitionistic fuzzy sets and their applications to group decision making problems. IEEE Transactions on Fuzzy Systems, 27(12), 2302-2311.‏
Garg, H. (2020). Novel neutrality aggregation operator-based multiattribute group decision-making method for single-valued neutrosophic numbers. Soft Computing, 24(14), 10327-10349.‏
Garg, H. (2020). Multiple attribute decision making based on immediate probabilities aggregation operators for single-valued and interval neutrosophic sets. Journal of Applied Mathematics and Computing, 1-35.‏
Garg, H. (2019). Linguistic single-valued neutrosophic power aggregation operators and their applications to group decision-making problems. IEEE/CAA Journal of Automatica Sinica, 7(2), 546-558.‏
Garg, H. (2019). Algorithms for possibility linguistic single-valued neutrosophic decision-making based on COPRAS and aggregation operators with new information measures. Measurement, 138, 278-290.‏
Garg, H. (2018). New logarithmic operational laws and their applications to multiattribute decision making for single-valued neutrosophic numbers. Cognitive Systems Research, 52, 931-946.‏
Harish, G. (2020). New ranking method for normal intuitionistic sets under crisp, interval environments and its applications to multiple attribute decision making process. Complex & Intelligent Systems, 6(3), 559-571.
Garg, H. (2020). Linguistic Interval-Valued Pythagorean Fuzzy Sets and Their Application to Multiple Attribute Group Decision-making Process. Cognitive Computation, 1-25.
Li, J., Niu, L. L., Chen, Q., & Wu, G. (2020). A consensus-based approach for multi-criteria decision making with probabilistic hesitant fuzzy information. Soft Computing, 1-18.
Mishra, A., & Kumar, A. (2020). JMD method for transforming an unbalanced fully intuitionistic fuzzy transportation problem into a balanced fully intuitionistic fuzzy transportation problem. Soft Computing, 1-16.
Chiao, K. P. (2020). Closed Forms of the Interval Type 2 Fuzzy Sets Additions Based on Archimedean T-norms with Application in Decision Making Aggregation. International Journal of Fuzzy Systems, 1-19.
Jin, F., Garg, H., Pei, L., Liu, J., & Chen, H. (2020). Multiplicative Consistency Adjustment Model and Data Envelopment Analysis-Driven Decision-Making Process with Probabilistic Hesitant Fuzzy Preference Relations. International Journal of Fuzzy Systems, 1-14.
Guo, X., Liu, A., Li, X., & Xiao, Y. (2020). Research on the Intelligent Fault Diagnosis of Medical Devices Based on a DEMATEL-Fuzzy Concept Lattice. International Journal of Fuzzy Systems, 1-16.
Suzan, V., & Yavuzer, H. (2020). A Fuzzy Dematel Method to Evaluate the Most Common Diseases in Internal Medicine. International Journal of Fuzzy Systems, 1-11.
Liu, L., Cao, W., Shi, B., & Tang, M. (2019). Large-Scale Green Supplier Selection Approach under a Q-Rung Interval-Valued Orthopair Fuzzy Environment. Processes, 7(9), 573.
Smarandache, F. (2005). Neutrosophic set-a generalization of the intuitionistic fuzzy set. International journal of pure and applied mathematics, 24(3), 287.
Ali, M., & Smarandache, F. (2017). Complex neutrosophic set. Neural Computing and Applications, 28(7), 1817-1834.
Abdel-Basset, M., Ali, M., & Atef, A. (2020). Uncertainty assessments of linear time-cost tradeoffs using neutrosophic set. Computers & Industrial Engineering, 141, 106286.
Khatter, K. (2020). Interval valued trapezoidal neutrosophic set: multi-attribute decision making for prioritization of non-functional requirements. Journal of Ambient Intelligence and Humanized Computing, 1-17.
Rashno, E., Minaei-Bidgoli, B., & Guo, Y. (2020). An effective clustering method based on data indeterminacy in neutrosophic set domain. Engineering Applications of Artificial Intelligence, 89, 103411.