Results 151 to 160 of about 3,117 (190)

Interval Valued T-Spherical Fuzzy Information Aggregation Based on Dombi t-Norm and Dombi t-Conorm for Multi-Attribute Decision Making Problems [PDF]

open access: yesSymmetry, 2021
Multi-attribute decision-making (MADM) is commonly used to investigate fuzzy information effectively. However, selecting the best alternative information is not always symmetric because the alternatives do not have complete information, so asymmetric information is often involved.
Zeeshan Ali, Khan Qaisar, Harish Garg
exaly   +4 more sources

Pythagorean Fuzzy Dombi Aggregation Operators and Their Application in Decision Support System [PDF]

open access: yesSymmetry, 2019
Keeping in mind the importance and well growing Pythagorean fuzzy sets, in this paper, some novel operators for Pythagorean fuzzy sets and their properties are demonstrated. In this paper, we develop a comprehensive model to tackle decision-making problems where strong points of view are in the favour and against the some projects, entities or plans ...
Jianchao Luo   +2 more
exaly   +5 more sources

Some Single-Valued Neutrosophic Dombi Weighted Aggregation Operators for Multiple Attribute Decision-Making

open access: yesSymmetry, 2017
The Dombi operations of T-norm and T-conorm introduced by Dombi can have the advantage of good flexibility with the operational parameter. In existing studies, however, the Dombi operations have so far not yet been used for neutrosophic sets.
Jun Ye
exaly   +2 more sources

Some operations on Dombi neutrosophic graph

Journal of Ambient Intelligence and Humanized Computing, 2021
Neutrosophic graph is an extension of fuzzy graph and intuitionistic fuzzy graph. It is helpful to handle the uncertainty (vagueness), related with the information of any decision making problem, where intuitionistic fuzzy graph models may fail to model properly.
Tejinder Singh Lakhwani   +4 more
openaire   +1 more source

Picture fuzzy Dombi aggregation operators: Application to MADM process

Applied Soft Computing Journal, 2019
Abstract The operations of t -norm and t -conorm, developed by Dombi, were generally known as Dombi operations which may have a better expression of application if they are presented in a new form of flexibility within the general parameter.
Chiranjibe Jana   +2 more
exaly   +3 more sources

Threshold graphs under picture Dombi fuzzy information

Granular Computing, 2021
The aggregation feature, decision-making skills and operational characteristics of multi-purpose Dombi operators make them a highly adaptable tool for compiling the imprecise information. This study exploits the generalized structure of Dombi operators and significant characteristics of picture fuzzy sets
Muhammad Akram, Uzma Ahmad, null Rukhsar
openaire   +1 more source

More on Dombi operations and Dombi aggregation operators for q -rung orthopair fuzzy values

Journal of Intelligent & Fuzzy Systems, 2020
Dombi operations which include the Dombi product and Dombi sum are special cases of t -norms and t -conorms besides the algebraic operations. Recently, operations and aggregation operators for q -rung orthopair ...
openaire   +1 more source

A new similarity-based classifier with Dombi aggregative operators

Pattern Recognition Letters, 2021
Abstract In this paper we extend the similarity classifier to cover Dombi aggregation operators. The similarity classifier was earlier studied with the ordered weighted averaging (OWA) operator, the generalized mean, and other operators. We concentrate on the use of Dombi operators during aggregation of similarities within the classifier.
openaire   +2 more sources

Implementation of the centroid method of Solymosi and Dombi

European Journal of Operational Research, 1992
Multiple objective decision support, either for selection among finite alternatives or for combining multiple functions in mathematical programming, often involves estimating a set of weights of relative importance. Recently Solymosi and Dombi proposed a means of estimating such weights based upon ordinal preference information. This method relies upon
Olson, D. L., Dorai, V. K.
openaire   +1 more source

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