Results 11 to 20 of about 3,309,099 (298)

An application of fuzzy AHP to SCOR performance measures: a case study of an Egyptian natural bottled water company [PDF]

open access: yes, 2010
Purpose This paper proposes a method which incorporates the fuzzy analytic hierarchy process approach (Fuzzy AHP) and the supply chain operations reference-model (SCOR) to evaluate and improve the performance of supply chain operations.
Elgazzar, S.   +3 more
core   +4 more sources

Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]

open access: yes, 2007
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen   +5 more
core   +5 more sources

Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]

open access: yes, 2003
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X.   +14 more
core   +2 more sources

Applying Young diagrams to 2-symmetric fuzzy measures with an application to general fuzzy measures [PDF]

open access: yes, 2020
In this paper we apply Young diagrams, a well-known object appearing in Combinatorics and Group Representation Theory, to study some properties of the polytope of 2-symmetric fuzzy measures with respect to a given partition, a subpolytope of the set of ...
García Segador, Pedro   +1 more
core   +1 more source

Some t-conorm-based distance measures and knowledge measures for Pythagorean fuzzy sets with their application in decision-making

open access: yesComplex & Intelligent Systems, 2022
The Pythagorean fuzzy sets are more robust than fuzzy sets and intuitionistic fuzzy sets in dealing with the problems involving uncertainty. To compare two Pythagorean fuzzy sets, distance measures play a crucial role.
Abdul Haseeb Ganie
doaj   +1 more source

Some New Correlation Coefficient Measures Based on Fermatean Fuzzy Sets using Decision Making Approach in Pattern Analysis and Supplier Selection [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2023
Fermatean fuzzy set (FFS) is an effective tool to depict expert reasoning information in the decision‐making process than fuzzy sets (FS), intuitionistic fuzzy sets (IFS), and Pythagorean fuzzy sets (PFS).
Mansi Bhatia   +2 more
doaj   +1 more source

Research on Evaluation of Sustainable Development of New Urbanization from the Perspective of Urban Agglomeration under the Pythagorean Fuzzy Sets

open access: yesDiscrete Dynamics in Nature and Society, 2021
In this study, considering the traditional geometric operation laws and Pythagorean fuzzy information, we propose a variety of new distance measures of Pythagorean fuzzy sets such as generalized Pythagorean fuzzy geometric distance (GPFGD) measures and ...
Lingyan Meng, Xiaoyan Wei
doaj   +1 more source

SOME TRIGONOMETRIC SIMILARITY MEASURES OF COMPLEX FUZZY SETS WITH APPLICATION

open access: yesUral Mathematical Journal, 2023
Similarity measures of fuzzy sets are applied to compare the closeness among fuzzy sets. These measures have numerous applications in pattern recognition, image processing, texture synthesis, medical diagnosis, etc.
Md. Yasin Ali
doaj   +1 more source

Some geometrical methods for constructing contradiction measures on Atanassov's intuitionistic fuzzy sets [PDF]

open access: yes, 2011
Trillas et al. (1999, Soft computing, 3 (4), 197–199) and Trillas and Cubillo (1999, On non-contradictory input/output couples in Zadeh's CRI proceeding, 28–32) introduced the study of contradiction in the framework of fuzzy logic because of the ...
Torres Blanc, Carmen   +5 more
core   +1 more source

Measure Identification for the Choquet Integral: A Python Module

open access: yesInternational Journal of Computational Intelligence Systems, 2022
Fuzzy integrals are common concepts which are used to aggregate input values in practical applications. Aggregation of inputs using fuzzy integrals opens up numerous possibilities for modeling interaction, redundancy, and synergy of inputs.
Ezgi Türkarslan, Vicenç Torra
doaj   +1 more source

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