Results 21 to 30 of about 6,995,364 (281)
Combinations of L-Complex Fuzzy t-Norms and t-Conorms
Zanco Journal of Pure and Applied Sciences, 2022 This paper investigates the study of -complex fuzzy sets. The -complex fuzzy set, where is a completely distributive lattice, is a generalization of the complex fuzzy set.
Pishtiwan O. Sabir , Aram N. Qadir
doaj +1 more source
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
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
Interval-Valued Fuzzy Parameterized Intuitionistic Fuzzy Soft Sets and Their Applications
Cumhuriyet Science Journal, 2019 In recent years, the fuzzy sets, interval-valued fuzzysets, intuitionistic fuzzy sets and soft sets, which offer differentperspectives for the structures containing the uncertainties, have attractedthe interest of many researchers.
Hüseyin Kamacı
doaj +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
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
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
An immune algorithm based fuzzy predictive modeling mechanism using variable length coding and multi-objective optimization allied to engineering materials processing [PDF]
, 2008 In this paper, a systematic multi-objective fuzzy modeling approach is proposed, which can be regarded as a three-stage modeling procedure. In the first stage, an evolutionary based clustering algorithm is developed to extract an initial fuzzy rule ...
Chen, Jun, Mahfouf, M.
core +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
International Journal of Intelligent Systems, 2018 q‐Rung orthopair fuzzy set (q‐ROFS) is a powerful tool that attracts the attention of many scholars in dealing with uncertainty and vagueness. The aim of paper is to present a new score function of q‐rung orthopair fuzzy number (q‐ROFN) for solving the ...
Xindong Peng, Jingguo Dai, Harish Garg
semanticscholar +1 more source