Results 31 to 40 of about 15,235,999 (187)

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

Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System. [PDF]

, 2006
A new approach to real-time joint classification and classifier design is proposed in this paper. It is based on the recently developed evolving fuzzy system (EFS) method and is applied to mobile robotics.
Angelov, Plamen, Xiaowei Zhou, P. Angelov, Zhou, Xiaowei   +3 more
core   +5 more sources

Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators

, 2023
This research article aims at establishing the foundations of generalized hybrid frameworks for dealing with uncertainties in knowledge-based systems. First, by combining the notions of picture fuzzy soft set, spherical fuzzy soft set, and T-spherical ...
Alessio Martino, Muahmmad Akram
core   +1 more source

Zero overshoot and fast transient response using a fuzzy logic controller [PDF]

, 2012
In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core   +3 more sources

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

Evaluating investments in advanced manufacturing technology: A fuzzy set theory approach [PDF]

, 2001
In this paper, a model for the evaluation of investments in advanced manufacturing technology is developed. Many authors have called for an integration of financial and non-financial factors in such evaluations and this paper demonstrates that it is ...
Dugdale, D, Abdel-Kader, MG
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

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

Spherical Linear Diophantine Fuzzy Graphs: Unleashing the Power of Fuzzy Logic for Uncertainty Modeling and Real-World Applications

Axioms
The theory of spherical linear Diophantine fuzzy sets (SLDFS) boasts several advantages over existing fuzzy set (FS) theories such as Picture fuzzy sets (PFS), spherical fuzzy sets (SFS), and T-spherical fuzzy sets (T-SFS).
Mani Parimala, Saeid Jafari
doaj   +1 more source

A new approach to r,s,t-spherical fuzzy soft sets with applications to multi-criteria decision-making [PDF]

Big Data and Computing Visions
As an extension of T-Spherical Fuzzy Soft Sets (T-SFSS), the notion of r,s,t-Spherical Fuzzy Soft Sets (rst-SFSS) is presented in this study. Incorporating the degrees of membership, neutral membership, and non-membership into a more adaptable structure,
Fatih Karamaz, Faruk Karaaslan, Mustafa Karhan   +2 more
doaj   +1 more source