Results 31 to 40 of about 16,044,973 (289)

Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]

, 2013
Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G., Stephen G. Matthews, Simon Coupland, Coupland, Simon   +3 more
core   +1 more source

Correlation coefficients for T-spherical fuzzy sets and their applications in pattern analysis and multi-attribute decision-making

Granular Computing, 2022
T-spherical fuzzy set is an effective tool to deal with vagueness and uncertainty in real-life problems, especially in a situation when there are more than two circumstances, like in casting a ballot. The correlation coefficient of T-spherical fuzzy sets is a tool to calculate the association of two T-spherical fuzzy sets.
Saad, Muhammad, Rafiq, Ayesha
openaire   +2 more sources

A Novel Approached Based on T-Spherical Fuzzy Schweizer-Sklar Power Heronian Mean Operator for Evaluating Water Reuse Applications under Uncertainty

, 2021
The T-Spherical Fuzzy set (T-SPHFS) is one of the core simplifications of quite a lot of fuzzy concepts such as fuzzy set (FS), intuitionistic fuzzy set (ITFS), picture fuzzy set (PIFS), Q-rung orthopair fuzzy set (Q-RUOFS), etc.
Muhammad Shahzad, Muhammad Kamran Alam, Jeonghwan Gwak, Qaisar Khan   +3 more
core   +1 more source

T-Spherical Fuzzy Frank Aggregation Operators and Their Application to Decision Making With Unknown Weight Information

IEEE Access, 2022
The current study presents a novel multi-criteria decision making (MCDM) approach to address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully unknown.
Saima Mahnaz, Jawad Ali, M. G. Abbas Malik, Zia Bashir   +3 more
doaj   +1 more source

T-spherical Fuzzy Soft Sets and its Aggregation Operators with Application in Decision Making [PDF]

Scientia Iranica, 2019
In the present manuscript, we introduce a novel concept of T-spherical fuzzy soft set with various important operations and properties. In the field of information theory, an aggregation operator is a structured mathematical function which aggregates all the information received as input and provides a single output entity, which are found to be ...
Abhishek Guleria, Rakesh Bajaj
openaire   +1 more source

Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets

Mathematics, 2019
The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that can describe imprecise events using four types of membership grades with no restrictions.
Shio Gai Quek, Ganeshsree Selvachandran, Muhammad Munir, Tahir Mahmood, Kifayat Ullah, Le Hoang Son, Pham Huy Thong, Raghvendra Kumar, Ishaani Priyadarshini   +8 more
doaj   +1 more source

T-Spherical Fuzzy Einstein Hybrid Aggregation Operators and Their Applications in Multi-Attribute Decision Making Problems

, 2020
T-spherical fuzzy set is a recently developed model that copes with imprecise and uncertain events of real-life with the help of four functions having no restrictions.
Muhammad Munir, Humaira Kalsoom, Kifayat Ullah, Yu-Ming Chu, Tahir Mahmood   +4 more
core   +1 more source

A novel fuzzy TOPSIS method based on T-spherical fuzzy Aczel–Alsina power Heronian mean operators with applications in pharmaceutical enterprises’ selection

Complex & Intelligent Systems, 2023
One of the most significant and complete approaches to accommodate greater uncertainty than current fuzzy structures is the T-Spherical Fuzzy Set (TSPFS). The primary benefit of TSPFS is that current fuzzy structures are special cases of it.
Peide Liu, Qaisar Khan, Ayesha Jamil, Ijaz Ul Haq, Waseem Sikandar, Fawad Hussain   +5 more
doaj   +1 more source

Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information [PDF]

, 2022
In the process of decision-making, uncertain information is always challenging to deal with. T-spherical fuzzy set (TSFS) operates vagueness of data by analysing three independent functions, namely membership, non-membership, and abstinence function. The
Javed, Mubashar, Garg, Harish, Elmasry, Yasser, Pamucar, Dragan, Javeed, Shomaila, Ullah, Kifayat   +5 more
core   +1 more source

Performance Evaluation of Solar Energy Cells Using the Interval-Valued T-Spherical Fuzzy Bonferroni Mean Operators

Energies, 2022
To find the correspondence between every number of attributes, the Bonferroni mean (BM) operator is most widely used and proven to be a flexible approach.
Maria Akram, Kifayat Ullah, Dragan Pamucar   +2 more
doaj   +1 more source