4.7 Article

Uncertain linguistic fuzzy soft sets and their applications in group decision making

Journal

APPLIED SOFT COMPUTING
Volume 34, Issue -, Pages 587-605

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2015.04.051

Keywords

Group decision making; Uncertain linguistic fuzzy soft sets; Non-linear optimization; TOPSIS; The maximum entropy

Funding

  1. National Natural Science Foundation of China [71371011, 71301001]
  2. Higher School Specialized Research Fund for the Doctoral Program [20123401110001]
  3. Anhui Provincial Natural Science Foundation [1308085QG127, 1508085QG149]
  4. Humanity and Social Science Youth Foundation of Ministry of Education [13YJC630092]
  5. Humanities and Social Science Research Project of Department of Education of Anhui Province [SK2013B041]
  6. Doctoral Scientific Research Foundation of Anhui University

Ask authors/readers for more resources

The aim of this paper is to develop a novel concept of uncertain linguistic fuzzy soft sets (ULFSSs), which applies the notion of uncertain fuzzy set to the soft theory. The relationships between two ULFSSs, including the inclusion relation, the equal relation and the complement relation, are studied based on the binary relations. We also introduce some basic set operations for ULFSSs, such as the 'AND' and 'OR' operations, the algebra operations. The properties of these operations are also discussed. As an application of this new fuzzy soft set, we propose a ULFSSs-based group decision making model, in which the weights of decision makers are obtained from a non-linear optimization model according to the Technique for Order of Preference by Similarity to Ideal Solution' (TOPSIS) method and the maximum entropy theory. Finally, an assessment of sound quality problem is investigated to illustrate the feasibility and validity of the approach mentioned in this paper. (C) 2015 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available