Results 31 to 40 of about 776 (171)
A New Methodology for Solving Piecewise Quadratic Fuzzy Cooperative Continuous Static Games
Advances in Mathematical Physics, Volume 2022, Issue 1, 2022., 2022 This paper deals with n‐players fuzzy cooperative continuous static games (FCCSGs). The cost function coefficients are characterized by piecewise quadratic fuzzy numbers. One of the best approximate intervals, namely, the inexact interval of the piecewise quadratic fuzzy number is used.
He Xiao +5 more
wiley +1 more source
, 2023 Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023.
Mathematical Problems in Engineering
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, 2023 Journal of Mathematics, Volume 2023, Issue 1, 2023.
Journal of Mathematics
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Research on Fuzzy Decision‐Making Method of Task Allocation for Ship Multiagent Collaborative Design
Advances in Mathematical Physics, Volume 2022, Issue 1, 2022., 2022 Since task allocation is one of the core tasks of ship design, the choice of its allocation strategy is a key factor that affects whether the task and the design agent can be beneficially matched. Different from the traditional one‐way assignment mode of assigning tasks to designers, in the task assignment strategy of modern ship collaborative design ...
Jinghua Li +5 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 In this study, the graphical exploration of a novel hybrid, that is, possibility of picture fuzzy hypersoft graph (popfhs‐graph) is accomplished. The popfhs‐graph is more flexible and reliable in the sense that it has the ability to tackle the limitations of picture fuzzy soft graph regarding the entitlement of multiargument approximate mapping and ...
Atiqe Ur Rahman +4 more
wiley +1 more source
A New Approach to Neutrosophic Hypersoft Rough Sets.
Neutrosophic Sets and Systems, 2023 The aim of this work is to introduce the new notion of Neutrosophic hypersoft rough set and study its properties. Neutrosophic hypersoft rough set is a generalization of Neutrosophic soft rough set. The notion of Neutrosophic hypersoft rough set has not been reported in the literature.
V.S. Subha, R. Selvakumar
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n-ary Fuzzy Hypersoft Expert Sets
Neutrosophic Sets and Systems, 2021 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. Moreover, the fuzzy hybrid model of hypersoft set was developed and thus the theory of fuzzy hypersoft set was initiated.
Huseyin Kamacı, Muhammad Saqlain
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Representation of Fuzzy Hypersoft Set in Graphs
, 2023 In this study, a novel framework of fuzzy hypersoft graphs (FHS-graphs) is developed which is more flexible as compared to fuzzy soft graphs (FS-graphs) in the sense that it not only generalizes FS-graphs but also tackles its insufficiency for multi-argument approximate function.
Saeed, Muhammad +3 more
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Introduction to Combined Plithogenic Hypersoft Sets
Neutrosophic Sets and Systems, 2020 Plithogenic Hypersoft sets was introduced by Florentin Smarandache, who has extended crisp sets, fuzzy sets, intuitionistic sets, neutrosophic sets to plithogenic sets. The plithogenic sets considers the degree of appurtenance of the elements with respect to the attribute system. Smarandache has presented the classification of the plithogenic hypersoft
Nivetha Martin, Florentin Smarandache
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Neutrosophic Hypersoft Expert Set: Theory and Applications
Neutrosophic Sets and Systems, 2022 Soft set-like models deal with single argument approximate functions while hypersoft set, an extension of the soft set, deals with multi-argument approximate functions. The soft set cannot handle situations when attributes are required to be further divided into disjoint attribute-valued sets.
Muhammad Ihsan +2 more
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