Results 71 to 80 of about 3,413 (231)
This paper advances the theory of bipolar Pythagorean neutrosophic fuzzy (BPNF) sets by establishing their formalization within a topological and metric framework, while also demonstrating their role in decision‐making under uncertainty. The main contributions are as follows: (1) definition and characterization of BPNF topological spaces, providing a ...
Akiladevi Natarajan +5 more
wiley +1 more source
Vague –Valued Possibility Neutrosophic Vague Soft Expert Set Theory and Its Applications [PDF]
In this paper, we first propose the concept of Vague-valued possibility Neutrosophic vague soft expert sets (VPNVSEsets in short). It is a combination of vague-valued possibility neutrosophic vague sets and soft expert sets.
Anjan Mukherjee
doaj +1 more source
Anomaly Detection in an Open Set Environment Using Reinforcement Learning
In this research, we attempt to develop unknown anomaly detection models using a large‐scale unlabeled dataset and a limited number of partially labeled anomalies, addressing an important but mostly unsolved anomaly detection problem. This is a common situation in many important applications.
Dharani Kanta Roy +2 more
wiley +1 more source
Super Fuzzy Matrices and Super Fuzzy Models for Social Scientists [PDF]
This book introduces the concept of fuzzy super matrices and operations on them. This book will be highly useful to social scientists who wish to work with multi-expert models.
Amal, K. +2 more
core +1 more source
Multiobjective transportation problem (MOTP) seeks to optimize multiple, often conflicting objectives within transportation and logistics systems. However, in real‐world scenarios, parameters such as transportation costs, time, availability, and demand are inherently uncertain.
Ritu +8 more
wiley +1 more source
The increasing need for environmentally friendly substitutes for petroleum‐based polymers has positioned plant‐based biopolymers as potential candidates for additive manufacturing, especially in the context of fused deposition modeling (FDM). Though plant‐based biopolymers have limited thermal stability, poor mechanical properties, and variable ...
Aarthi S. +4 more
wiley +1 more source
An ensemble data-driven fuzzy network for laser welding quality prediction [PDF]
This paper presents an Ensemble Data-Driven Fuzzy Network (EDDFN) for laser welding quality prediction that is composed of a number of strategically selected Data-Driven Fuzzy Models (DDFMs).
Panoutsos, G., Rubio-Solis, A.
core +1 more source
Analyzing Decision‐Making Processes Using the Energy of Bipolar Neutrosophic Soft Sets
Bipolar neutrosophic soft sets are powerful tools for modeling data under conditions of uncertainty and imprecision due to their rich parametric structure and the useful mathematical properties of the operations defined on them. In this paper, motivated by the limitations of existing decision‐making algorithms, we introduce a new numerical ...
Marina Svičević +4 more
wiley +1 more source
Soft Neutrosophic Algebraic Structures and Their Generalization [PDF]
Study of soft sets was first proposed by Molodtsov in 1999 to deal with uncertainty in a non-parametric manner. The researchers did not pay attention to soft set theory at that time but now the soft set theory has been developed in many areas of ...
Ali, Mumtaz +2 more
core +4 more sources
Connectedness via Primal Topological Spaces With Applications of Primals to Rough Operators
In topology, connectedness provides insight into how a space is “in one piece,” rather than being split into disjoint parts. Its significance can be seen through its various applications, such as understanding the nature of solutions to differential equations, the intermediate value theorem, and attaining a maximum and minimum for continuous real ...
Murad Özkoç +4 more
wiley +1 more source

