Results 51 to 60 of about 500 (179)
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
Several Similarity Measures of Interval Valued Neutrosophic Soft Sets and Their Application in Pattern Recognition Problems [PDF]
Interval valued neutrosophic soft set introduced by Irfan Deli in 2014[8] is a generalization of neutrosophic set introduced by F. Smarandache in 1995[19], which can be used in real scientific and engineering applications.
Anjan Mukherjee, Sadhan Sarkar
doaj
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
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
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
Standard Neutrosophic Soft Theory: Some First Results [PDF]
The traditional soft set is a mapping from a parameter set to family of all crisp subsets of a universe. Molodtsov introduced the soft set as a generalized tool for modelling complex systems involving uncertain or not clearly defined objects.
Bui Cong Cuong +2 more
doaj
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
In this research paper, the concepts of compatible maps and maps of type α¯ and (β¯) within the framework of neutrosophic soft metric spaces (NSMS) are established. The interconnections between α¯‐ and (β¯)‐type maps are also clarified. Additionally, the notions of R‐weakly commuting and weakly commuting mappings in NSMS are introduced. A proof for the
Vishal Gupta +3 more
wiley +1 more source
Interval-Valued Neutrosophic Soft Rough Sets [PDF]
We first defined interval-valued neutrosophic soft rough sets (IVN-soft rough sets for short) which combine interval-valued neutrosophic soft set and rough sets and studied some of its basic properties. This concept is an extension of interval-valued intuitionistic fuzzy soft rough sets (IVIF-soft rough sets).
Said Broumi, Flornetin Smarandache
openaire +1 more source
This article proposes a new decision‐making model utilizing the complex intuitionistic fuzzy soft lattice concept. By taking the time within a day as the phase, this model truthfully utilizes the directional nature of the phase of a complex number.
Shio Gai Quek +4 more
wiley +1 more source

