Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem [PDF]
In this paper, we investigate the multi-criteria decision-making complications under intuitionistic fuzzy hypersoft set (IFHSS) information. The IFHSS is a proper extension of the intuitionistic fuzzy soft set (IFSS) which discusses the parametrization ...
Dragan Pamucar +2 more
exaly +11 more sources
Interval-valued fuzzy hypersoft set is an emerging field of study which is projected to address the limitations of interval-valued fuzzy soft set for the entitlement of multiargument approximate function.
Atiqe Ur Rahman +4 more
doaj +4 more sources
Entropy for q-rung linear diophantine fuzzy hypersoft set with its application in MADM [PDF]
A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The soft set theory was expanded into the hypersoft set theory. By combining both the q-rung linear diophantine fuzzy set and hypersoft set, this study describes the ...
AN. Surya +4 more
doaj +6 more sources
A Novel Fuzzy Parameterized Fuzzy Hypersoft Set and Riesz Summability Approach Based Decision Support System for Diagnosis of Heart Diseases [PDF]
Fuzzy parameterized fuzzy hypersoft set (Δ-set) is more flexible and reliable model as it is capable of tackling features such as the assortment of attributes into their relevant subattributes and the determination of vague nature of parameters and their
Atiqe Ur Rahman +2 more
exaly +5 more sources
Inrecent years, there has been a notable increase in utilising multiple criteria decision-making (MCDM) methods in practical problem solving. The advancement of enhanced decision models with greater capabilities, coupled with technologies like geographic
Muhammad Saeed +2 more
exaly +5 more sources
Development of Hybrids of Hypersoft Set with Complex Fuzzy Set, Complex Intuitionistic Fuzzy set and Complex Neutrosophic Set [PDF]
The complex fuzzy soft set and its generalized hybrids are such effective structures which not only minimize the impediments of all complex fuzzy-like structures for dealing uncertainties but also fulfill all the parametric requirements of soft sets ...
Atiqe Ur Rahman +3 more
doaj +5 more sources
Assessment of industrial fault diagnosis using rough approximations of fuzzy hypersoft sets. [PDF]
Reliable and timely fault diagnosis is critical for the safe and efficient operation of industrial systems. However, conventional diagnostic methods often struggle to handle uncertainties, vague data, and interdependent multi-criteria parameters, which ...
Muhammad Abdullah +3 more
doaj +5 more sources
n-ary Fuzzy Hypersoft Expert Sets [PDF]
In 2018, Smarandache introduced the concept of hypersoft set by replacing the approximate function of the Molodtsov’s soft sets with the multi-argument approximate function.
Huseyin Kamacı, Muhammad Saqlain
doaj +2 more sources
Decision-Making Application Based on Aggregations of Complex Fuzzy Hypersoft Set and Development of Interval-Valued Complex Fuzzy Hypersoft Set [PDF]
Hypersoft set, an extension of soft set, deals with disjoint attribute-valued sets corresponding to distinct attributes. In this study, the innovation of complex fuzzy hypersoft set (CFH-set) is conferred, which can tackle with uncertainties and ...
Atiqe Ur Rahman +4 more
doaj +3 more sources
Fuzzy hypersoft sets and its weightage operator for decision making [PDF]
Hypersoft set is an extension of the soft set where there is more than one set of attributes occur and it is very much helpful in multi-criteria group decision making problem. In a hypersoft set, the function F is a multi-argument function. In this paper,
Somen Debnath
doaj +2 more sources

