Results 41 to 50 of about 15,235,999 (187)
Journal of Mathematics, 2021 In this article, the generalized parameter is involved in T-spherical fuzzy set (TSFS), and with the help of this generalized parameter, some generalized geometric aggregation operators for TSFSs are proposed.
Yujuan Chen +4 more
doaj +1 more source
Results in Control and OptimizationT-spherical fuzzy set studied in this paper adequately defines the uncertain information of any decision making situations. This paper aims to provide a solution approach to a multiple criteria group decision making situation under T-spherical fuzzy ...
A. Thilagavathy, S. Mohanaselvi
doaj +1 more source
Matrix formulation of fuzzy rule-based systems [PDF]
, 1996 In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core
IEEE Access, 2021 Uncertainty is the unavoidable part of the life. In almost all circumstances, we regularly find ourselves in a state of uncertainty. Several reasons can lead to uncertainty, such as randomness, vagueness and rough knowledge.
Abdul Nasir +3 more
doaj +1 more source
State-Space Feedback Linearization for Depth Positioning of a Spherical URV [PDF]
, 2009 Variable ballast, a common mechanism in underwater vehichle, is utilized as vertical motion actuator of a spherical URV in order to control its depth positiong.
Sumantri, Bambang
core
Journal of New Theory, 2019 In this paper, weprove that Neutrosophic Set (NS) is an extension of Intuitionistic Fuzzy Set(IFS) no matter if the sum of neutrosophic components is <1, or >1, or =1.For the case when the sum of components is 1 (as in IFS), after applying ...
Florentin Smarandache
doaj
SymmetryDespite advancements in divergence and distance measures across fuzzy set extensions, the development of such measures for Globular T-Spherical Fuzzy Sets (G-TSFSs) remains significantly unexplored. Existing approaches often fall short in capturing the rich semantics and high-dimensional uncertainty that G-TSFSs represent, limiting their utility in ...
Miin-Shen Yang +2 more
openaire +2 more sources
Implementing imperfect information in fuzzy databases [PDF]
, 2005 Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inherent imperfect nature of real-world will undoubtedly introduce some deformation of human perception of real-world and may eliminate several substantial ...
Naija, Y. +5 more
core
Child Development Influence Environmental Factors Determined Using Spherical Fuzzy Distance Measures
, 2019 This paper aims to resolve the issue of the ranking of the fuzzy numbers in decision analysis, artificial intelligence, and optimization. In the literature, many ideas have been established for the ranking of the fuzzy numbers, and those ideas have some ...
Saleem Abdullah +2 more
core +1 more source
IEEE Access${p,q,r}$ –spherical fuzzy sets are an extension of picture fuzzy, spherical fuzzy and t-spherical fuzzy sets, which allow for a more flexible representation of uncertainty.
Muhammad Rahim +4 more
doaj +1 more source