Results 151 to 160 of about 1,049,149 (204)

An evidence-fused neutrosophic framework for uncertainty-aware treatment selection. [PDF]

Sci Rep
Mann M, Badoni RP, Narooka P, Singh P.
europepmc   +1 more source

Solution of supply chain management problems using rough t spherical fuzzy set lower and upper approximation spaces. [PDF]

Sci Rep
Zhao X, Zhou Y, Sun L.
europepmc   +1 more source

A novel sustainable hybrid intuitionistic fuzzy decision-making model for machinability ranking of Al-Cu-Mg-SiC-graphite-peanut shell hybrid composites. [PDF]

Sci Rep
Sivam SPSS, Umasekar VG, Kesavan S, Santhosh AJ.   +3 more
europepmc   +1 more source

A Fermatean fuzzy CRITIC-MAIRCA fusion model for automated vocal performance evaluation in a.i. assisted decision support systems. [PDF]

Sci Rep
Zhao B, Huang S.
europepmc   +1 more source

Assessment of road accident risk in India under a type-2 picture fuzzy framework with novel distance measures. [PDF]

Sci Rep
Prabakaran R, Suvitha K, Kalaiselvan S, Almakayeel N, Dincer H, Yuksel S, Narayanamoorthy S.   +6 more
europepmc   +1 more source

A novel framework for TER allocation using multilayer perceptron and intuitionistic fuzzy Z numbers for talent management. [PDF]

Sci Rep
Yang T.
europepmc   +1 more source

Uncertain tourist expressions and data-driven perceived destination image construction: a probabilistic linguistic and multi-criteria decision framework. [PDF]

Sci Rep
Qin Y, Zhao X, Wang L.
europepmc   +1 more source

Two Variants of Intuitionistic Fuzzy Modal Logics

International Journal Bioautomation, 2016
openaire   +2 more sources

Intuitionistic Fuzzy Topology Based on Intuitionistic Fuzzy Logic

Symmetry, 2022
There are many symmetries in intuitionistic fuzzifying topology. In the present paper, the notion of intuitionistic fuzzifying topology as an extension of fuzzifying topology and a preliminary of the research on bi-intuitionistic fuzzy topology is introduced.
Ayman A Aly
exaly   +3 more sources

Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems [PDF]

IEEE Transactions on Fuzzy Systems, 2018
This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of Takagi-Sugeno-Kang (TSK) fuzzy inference with neural network learning capability. The gradient descent (GD) algorithm is used to adapt the parameters of the IT2AIFLS.
Robert I John, Imo Eyoh, Geert Maere
exaly   +5 more sources