Results 91 to 100 of about 5,832 (201)
Exploring n‐Dimensional Fuzzy Soft Sets: A Framework for Multicriteria Decision‐Making Problems
This study introduces several operations on n‐dimensional fuzzy sets, including union, intersection, and complement, and examines the validity of De Morgan’s law within this framework. To further elucidate the conceptual underpinnings, the study also presents illustrative examples of t‐norm, t‐conorm, and negation operations on n‐dimensional fuzzy sets.
Shifa Mol A. P. +3 more
wiley +1 more source
Neutrosophic Soft Rough Graphs with Application
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram +3 more
doaj +1 more source
Using fuzzy numbers and OWA operators in the weighted average and its application in decision making [PDF]
Se presenta un nuevo método para tratar situaciones de incertidumbre en los que se utiliza el operador OWAWA (media ponderada – media ponderada ordenada). A este operador se le denomina operador OWAWA borroso (FOWAWA).
Casanovas Ramón, Montserrat +2 more
core
For sustainable growth, investments in renewable energy must be maximized. Maximizing investments in renewable energy opens the door to a more successful and environmentally friendly future. Analyzing technological viability, cost‐effectiveness, regulatory compliance, and environmental impact are all part of this optimization process. This paper delves
Muhammad Younis +5 more
wiley +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 major point of proposed work is to study optimistic multi-granulation roughness of intuitionistic fuzzy ideals by using soft relations that is free from all the complications that challenged by many researchers.
Shahida Bashir +6 more
doaj +1 more source
Lattice Structure of Generalized Intuitionistic Fuzzy Soft Sets [PDF]
Park et al. introduced the concept of generalized intuitionistic fuzzy soft sets, which can be seen as an effective mathematical tool to deal with uncertainties. In this paper, we introduce new operations such as restricted union and restricted intersection and study their basic properties, and deal with the algebraic structure of generalized ...
openaire +1 more source
Intuitionistic fuzzy set (IFS), introduced by Atanassov, extends classical fuzzy sets (FSs) by incorporating both membership degree (MD) and non-membership degree (NMD), allowing for a more nuanced representation of uncertainty. N-bipolar soft set (NBSS)
Sagvan Y. Musa +3 more
doaj +1 more source
Entropy and similarity measures of q-rung orthopair fuzzy soft sets and their applications in decision making problems [PDF]
The q-rung orthopair fuzzy set can represent a wide range of uncertainty in information. When combined with a soft set, the resulting notion of a q-rung orthopair fuzzy soft set (OFSSq ) is more effective in dealing with uncertainties as it allows for ...
Aparna Sivadas, Sunil John
doaj +1 more source
REPRESENTATION OF INTUITIONISTIC FUZZY SOFT SET USING COMPLEX NUMBER
Summary: Soft sets are fantastic mathematical tools to handle imprecise and uncertain information in complicated situations. In this paper, we defined the hybrid structure which is the combination of soft set and complex number representation of intuitionistic fuzzy set. We defined basic set theoretic operations such as complement, union, intersection,
openaire +2 more sources

