[[abstract]]This paper presents a new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets. First, we propose a new fuzzy ranking method based on the α-cuts of generalized fuzzy numbers and interval type-2 fuzzy sets. The proposed fuzzy ranking method involves a decision-maker’s attitude towards risks to calculate the left areas and the right areas of generalized fuzzy numbers and interval type-2 fuzzy sets with the consideration of the heights of generalized fuzzy numbers and interval type-2 fuzzy sets. Based on the proposed fuzzy ranking method, we propose a new method for fuzzy decision making. The proposed fuzzy decision making method is more flexible and more intelligent than the ex...
Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since thei...
Abstract—Ranking of fuzzy numbers play an important role in decision making, optimization, forecasti...
In this paper, a new method for comparing fuzzy numbers based on a fuzzy probabilistic preference re...
[[abstract]]In this paper, we present a new method for fuzzy multiple attributes decision making bas...
Type-2 fuzzy sets (T2FSs), characterized by a fuzzy membership function, are much useful tool for re...
In this paper, a new fuzzy ranking method for both type-1 and interval type-2 fuzzy sets (FSs) using...
[[abstract]]Ranking of fuzzy numbers play an important role in decision making, optimization, foreca...
This paper proposes a ranking method that considers the risk preferences of decision makers for mult...
Full text on Nottingham eprints - http://eprints.nottingham.ac.uk/36609/This paper concerns itself w...
This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent ...
AbstractThe maximizing set and minimizing set method is a popular ranking approach for fuzzy numbers...
Since Lotfi A. Zadeh introduced the concept of fuzzy sets in 1965, many authors have devoted their e...
This text studies different real decision situations where problems are defined in inexact environme...
AbstractThe main aim of this paper is to propose a new approach for the ranking of exponential vague...
This paper concerns itself with decision making under uncertainty and theconsideration of risk. Type...
Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since thei...
Abstract—Ranking of fuzzy numbers play an important role in decision making, optimization, forecasti...
In this paper, a new method for comparing fuzzy numbers based on a fuzzy probabilistic preference re...
[[abstract]]In this paper, we present a new method for fuzzy multiple attributes decision making bas...
Type-2 fuzzy sets (T2FSs), characterized by a fuzzy membership function, are much useful tool for re...
In this paper, a new fuzzy ranking method for both type-1 and interval type-2 fuzzy sets (FSs) using...
[[abstract]]Ranking of fuzzy numbers play an important role in decision making, optimization, foreca...
This paper proposes a ranking method that considers the risk preferences of decision makers for mult...
Full text on Nottingham eprints - http://eprints.nottingham.ac.uk/36609/This paper concerns itself w...
This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent ...
AbstractThe maximizing set and minimizing set method is a popular ranking approach for fuzzy numbers...
Since Lotfi A. Zadeh introduced the concept of fuzzy sets in 1965, many authors have devoted their e...
This text studies different real decision situations where problems are defined in inexact environme...
AbstractThe main aim of this paper is to propose a new approach for the ranking of exponential vague...
This paper concerns itself with decision making under uncertainty and theconsideration of risk. Type...
Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since thei...
Abstract—Ranking of fuzzy numbers play an important role in decision making, optimization, forecasti...
In this paper, a new method for comparing fuzzy numbers based on a fuzzy probabilistic preference re...