Results 291 to 300 of about 43,297 (342)

Solving fuzzy programming with a consistent fuzzy number ranking

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014
Some illustrative examples are provided to identify the ineffective and unrealistic characteristics of existing approaches to solving fuzzy linear programming (FLP) problems (with single or multiple objectives). We point out the error in existing methods concerning the ranking of fuzzy numbers and thence suggest an effective method to solve the FLP ...
Thanh Nguyen, Vincent Lee, Abbas Khosravi, Douglas Creighton, Saeid Nahavandi   +4 more
openaire   +1 more source

Ranking Fuzzy Numbers with Quasi-Mean and Fuzzy Degree

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009
We know that ranking fuzzy numbers plays an important role in decision-making and some other fuzzy application areas. In this paper, a new definition on mean of fuzzy number---quasi-mean is given. Based on the quasi-means and fuzzy degree we propose a new method for ranking fuzzy numbers.
Guixiang Wang, Xinni Gao, Yunping Wen
openaire   +1 more source

Ranking fuzzy numbers based on relative positions and shape characteristics

Expert systems with applications, 2021
N. Van Hop
semanticscholar   +1 more source

A procedure for ranking fuzzy numbers using fuzzy relations

Fuzzy Sets and Systems, 1988
This paper presents a method to give fuzzy order relations between fuzzy numbers. These are founded on the concept of `comparison function' (defined in the paper), and the use of fuzzy measures related with the same numbers. The link of such relations with fuzzy operations is investigated too.
Delgado, M., Verdegay, J. L., Vila, M. A.   +2 more
openaire   +2 more sources

Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2016
Z-number, a new concept describes both the restriction and the reliability of evaluation, is more applicable than fuzzy numbers in the fields of decision making, risk assessment etc. However, how to deal with the restriction and the reliability properly is still a problem which is discussed few and inadequately in the existing literatures.
Jiang, Wen, Xie, Chunhe, Luo, Yu, Tang, Yongchuan   +3 more
openaire   +1 more source

Ranking generalized fuzzy numbers based on centroid and rank index

Applied Soft Computing, 2018
Abstract Ranking fuzzy numbers is an increasingly important research issue in decision making, because it provides support for decision makers to select the best alternative under an uncertain environment. The recent ranking approach for generalized fuzzy numbers by Kumar et al.
Ha Thi Xuan Chi, Vincent F. Yu
openaire   +1 more source

New Pareto Approach for Ranking Triangular Fuzzy Numbers

2014
Ranking fuzzy numbers is an important aspect in dealing with fuzzy optimization problems in many areas. Although so far, many fuzzy ranking methods have been discussed. This paper proposes a new Pareto approach over triangular fuzzy numbers. The approach is composed of two dominance stages.
Bahri, Oumayma, Ben Amor, Nahla, Talbi, El-Ghazali   +2 more
openaire   +1 more source

A new ranking principle for ordering generalized trapezoidal fuzzy numbers based on diagonal distance, mean and its applications to supplier selection

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
Rakhi Bihari, S. Jeevaraj, Ajay Mahaputra Kumar   +2 more
semanticscholar   +1 more source

A note on multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
S. Jeevaraj
semanticscholar   +1 more source

Centroid Coordinate Ranking of Pythagorean Fuzzy Numbers and its Application in Group Decision Making

Cognitive Computation, 2022
Gang Sun, Mingxin Wang, Xiaoping Li
semanticscholar   +1 more source