Results 101 to 110 of about 7,010,837 (208)

Circular intuitionistic fuzzy Hamacher aggregation operators for multi-attribute decision-making

Scientific Reports
Decision-making in uncertain and imprecise environments often requires robust mathematical frameworks capable of effectively representing and aggregating conflicting information. Circular Intuitionistic Fuzzy Sets (C-IFSs) are powerful tools for modeling
Aliya Fahmi, Aziz Khan, Zahida Maqbool, Thabet Abdeljawad   +3 more
doaj   +1 more source

Similarity measures for complex Fermatean fuzzy sets and their applications in decision-making and clustering problems [PDF]

Mathematics and Computational Sciences
The quantification of similarity between fuzzy objects is central to decision-making and clustering under uncertainty. While numerous measures have been developed within Intuitionistic, Pythagorean, and Fermatean fuzzy frameworks, these approaches cannot
Nisha Devi Gunasegaran, Hemavathi Perumal, Vinod Kumar Raja, Suresh Kandhasamy   +3 more
doaj   +1 more source

Logic connectives of complex fuzzy sets

, 2018
The Fuzzy Set Theory has been applied in various problems in numerous fields. In particular, the concepts of t-norms and t-conorms serve a significant role in shaping the theory and its applications. The notion of Complex Fuzzy Sets extends the Fuzzy Set
Kandel, Abe, Ngan, Tran Thi, Tuan, Tran Manh, Rishe, Naphtali, Ali, Mumtaz, Son, Le Hoang, Lan, Luong Thi Hong, Tamir, Dan   +7 more
core  

Hamacher interaction aggregation operators for complex intuitionistic fuzzy sets and their applications in green supply chain management

Complex & Intelligent Systems
AbstractA complex intuitionistic fuzzy (CIF) set contains the membership and non-membership in the shape of a complex number whose amplitude term and phase term are covered in the unit interval. Moreover, Hamacher interaction aggregation operators are the combination of two major operators, called Hamacher aggregation operators and interaction ...
Peide Liu, Zeeshan Ali
openaire   +2 more sources

Complex interval-value intuitionistic fuzzy sets: Quaternion number representation, correlation coefficient and applications

AIMS Mathematics
<abstract><p>Complex interval-valued intuitionistic fuzzy sets not only consider uncertainty and periodicity semantics at the same time but also choose to express the information value with an interval value to give experts more freedom and make the solution to the problem more reasonable.
Yanhong Su, Zengtai Gong, Na Qin
openaire   +2 more sources

Building Intuitionistic Fuzzy Sets in Machine Learning

, 2021
International audienceThe construction of intuitionistic fuzzy sets is a difficult task. Some approaches have been proposed in the literature and they have been used successfully in some application domains.
Marsala, Christophe
core  

Evaluating Sustainable Business Model Innovations Under ESG by Signed Distance Based Intuitionistic Fuzzy MCDM Method

Advances in Fuzzy Systems
This paper addresses critical limitations in the application of intuitionistic fuzzy sets (IFSs) for complex decision-making problems under uncertainty.
Hanh-Thao Le, Ta-Chung Chu
doaj   +1 more source

Sustainable Renewable Energy Source Selection Using a Machine Learning-Integrated Elliptic Intuitionistic Fuzzy Muirhead Mean Framework

Mathematics
Over the past few decades, extensive attention has been given by researchers and practitioners to the development and application of multi-criteria decision-making (MCDM) methods within intuitionistic fuzzy environments across a wide range of fields and ...
Vasudevan Tharakeswari, Meenakshi Sundaram Kameswari, Shanmugavel Krishnaprakash   +2 more
doaj   +1 more source

A Novel Decision-Making Algorithm for the Assessment of Creative Product Value Transformation Based on Customer Preferences Using Bipolar Intuitionistic Hesitant Fuzzy Information

IEEE Access
Assessing factors affecting creative product value transformation is crucial for businesses aiming to remain competitive and customer-centric. It enables companies to identify and prioritize key influences, such as customer preferences and market trends.
Jing Wang
doaj   +1 more source

Type-1 Fuzzy Sets and Intuitionistic Fuzzy Sets

, 2017
A comparison between type-1 fuzzy sets (T1FSs) and intuitionistic fuzzy sets (IFSs) is made. The operators defined over IFSs that do not have analogues in T1FSs are shown, and such analogues are introduced whenever ...
Krassimir T. Atanassov, Krassimir Atanassov   +1 more
core   +1 more source