Title: Triangular fuzzy soft set and its application in MADM

Authors: Sujit Das; Priyanka Kumari; Archna Kumari Verma

Addresses: Department of Computer Science and Engineering, Dr. B.C. Roy Engineering College, Durgapur – 6, India ' Department of Computer Science and Engineering, Dr. B.C. Roy Engineering College, Durgapur – 6, India ' Department of Computer Science and Engineering, Dr. B.C. Roy Engineering College, Durgapur – 6, India

Abstract: The purpose of this paper is to extend the classical soft set to triangular fuzzy soft set (TFSS) based on triangular fuzzy numbers (TFNs). In uncertain environment, TFNs have an important role for converting linguistic information into numerical values. This study firstly converts the multi-fuzzy soft set (MFSS) into fuzzy soft set (FSS) using the attribute weight information. We use TFN to convert the FSS into TFSS. This study defines some useful operations and properties of TFSSs. We also propose an algorithmic approach for multiple attribute decision making (MADM) problem based on MFSS and TFSS. Finally, a numerical example has been demonstrated to validate the proposed approach.

Keywords: multi-fuzzy soft sets; MFSS; triangular fuzzy soft sets; TFSS; triangular fuzzy soft matrix; multiattribute decision making; MADM.

DOI: 10.1504/IJCSYSE.2015.077053

International Journal of Computational Systems Engineering, 2015 Vol.2 No.2, pp.85 - 93

Received: 03 Mar 2015
Accepted: 01 Nov 2015

Published online: 20 Jun 2016 *

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