TRIANGULAR PICTURE FUZZY LINGUISTIC INDUCED ORDERED WEIGHTED AGGREGATION OPERATORS AND ITS APPLICATION ON DECISION MAKING PROBLEMS

18Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

The primary goal of this paper is to solve the investment problem based on linguistic picture decision making method under the linguistic triangular picture linguistic fuzzy environment. First to define the triangular picture linguistic fuzzy numbers. Further, we define operations on triangular picture linguistic fuzzy numbers and their aggregation operator namely, triangular picture fuzzy linguistic induce OWA (TPFLIOWA) and triangular picture fuzzy linguistic induce OWG (TPFLIOWG) operators. Multi-criteria group decision making method is developed based on TPFLIOWA and TPFLIOWG operators and solve the uncertainty in the investment problem. We study the applicability of the proposed decision making method under triangular picture linguistic fuzzy environment and construct a descriptive example of investment problem. We conclude from the comparison and sensitive analysis that the proposed decision making method is more effective and reliable than other existing models.

Cite

CITATION STYLE

APA

Qiyas, M., Abdullah, S., Ashraf, S., Khan, S., & Khan, A. (2019). TRIANGULAR PICTURE FUZZY LINGUISTIC INDUCED ORDERED WEIGHTED AGGREGATION OPERATORS AND ITS APPLICATION ON DECISION MAKING PROBLEMS. Mathematical Foundations of Computing, 2(3), 183–201. https://doi.org/10.3934/mfc.2019013

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free