Results 21 to 30 of about 500,880 (319)
An improved comprehensive evaluation model and its application [PDF]
International Journal of Computational Intelligence Systems, 2014 Since comprehensive evaluation model was introduced by Wang in 1984, the comprehensive evaluation model has many successful applications in real life. But some examples show the inefficiency of the comprehensive evaluation model.
Wenyi Zeng, Shuang Feng
doaj +1 more source
Implication functions in interval-valued fuzzy set theory [PDF]
, 2013 Interval-valued fuzzy set theory is an extension of fuzzy set theory in which the real, but unknown, membership degree is approximated by a closed interval of possible membership degrees.
Deschrijver, Glad
core +1 more source
Mathematics, 2020 The fuzzyfication of hypercompositional structures has developed in several directions. In this note we follow one direction and extend the classical concept of reducibility in hypergroups to the fuzzy case.
Milica Kankaras, Irina Cristea
doaj +1 more source
Waste to Energy Treatment for India Using CRITIC-WASPAS Method under Interval-Valued Pythagorean Neutrosophic Fuzzy Set [PDF]
Neutrosophic Sets and Systems, 2023 Municipal solid waste management (MSWM) has emerged as a major issue in India due to the massive amounts of waste generated on a daily basis. Governments are focusing on establishing a proper waste management system, including a timeline for the ...
R. Narmada Devi +3 more
doaj +1 more source
Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology [PDF]
, 2011 Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology.
Deschrijver, Glad +5 more
core +1 more source
Characterization of G -Semigroup by Intuitionistic N-Fuzzy Set (INFS) and its level set [PDF]
, 2017 Some characterizations of G -Semigroup by intuitionistic N-fuzzy sets have been given here. The concept of intuitionistic N-fuzzy set (INFS) and its level set has been applied to G -semigroup.
Iqbal, Zaffar +2 more
core +1 more source
Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
doaj +1 more source
On fuzzy-qualitative descriptions and entropy [PDF]
, 2016 This paper models the assessments of a group of experts when evaluating different magnitudes, features or objects by using linguistic descriptions.
Agell Jané, Núria +3 more
core +2 more sources
AIMS Mathematics, 2023 The selection of parameters plays a vital role in the multi-attribute decision-making process. In some situations, it is observed that the nature of parameters is ambiguous and a multi-decisive opinion is necessary for managing such parametric ...
Muhammad Ihsan +5 more
doaj +1 more source
Fuzzy Multi-Criteria Decision Making Algorithm under Intuitionistic Hesitant Fuzzy Set with Novel Distance Measure [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Decision making under uncertainty is a crucial issue and most demanding area of research now a days. Intuitionistic hesitant fuzzy set plays important role in dealing with the circumstances in which decision makers judge an alternative with a collection ...
Rupjit Saikia, Harish Garg, Palash Dutta
doaj +1 more source