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A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning
An in-depth understanding of uncertainty is the first step to making effective decisions under
uncertainty. Machine/deep learning (ML/DL) has been hugely leveraged to solve complex …
uncertainty. Machine/deep learning (ML/DL) has been hugely leveraged to solve complex …
An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods
Green supply chain management, which considers both the environment and supply chain
management, is becoming a hot topic in modern operations management. In a …
management, is becoming a hot topic in modern operations management. In a …
Fuzzy human motion analysis: A review
Abstract Human Motion Analysis (HMA) is currently one of the most popularly active
research domains as such significant research interests are motivated by a number of real …
research domains as such significant research interests are motivated by a number of real …
Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method
Failure mode and effect analysis (FMEA) has been widely adopted to define, identity, and
remove potential and recognized hazards. As an indicator in traditional FMEA, the risk …
remove potential and recognized hazards. As an indicator in traditional FMEA, the risk …
[ספר][B] On intuitionistic fuzzy sets theory
KT Atanassov - 2012 - books.google.com
This book aims to be a comprehensive and accurate survey of state-of-art research on
intuitionistic fuzzy sets theory and could be considered a continuation and extension of the …
intuitionistic fuzzy sets theory and could be considered a continuation and extension of the …
Enhanced karnik--mendel algorithms
The Karnik-Mendel (KM) algorithms are iterative procedures widely used in fuzzy logic
theory. They are known to converge monotonically and superexponentially fast; however …
theory. They are known to converge monotonically and superexponentially fast; however …
Multimodal sensor medical image fusion based on type-2 fuzzy logic in NSCT domain
Multimodal medical image fusion plays a vital role in different clinical imaging sensor
applications. This paper presents a novel multimodal medical image fusion method that …
applications. This paper presents a novel multimodal medical image fusion method that …
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment
Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information
and uncertainty in decision support system (DSS) when dealing with both extrinsic and …
and uncertainty in decision support system (DSS) when dealing with both extrinsic and …
Multi-criteria group decision-making for portfolio allocation with consensus reaching process under interval type-2 fuzzy environment
The portfolio allocation problem is a hot topic in modern economics and management
science. It involves many immeasurable criteria and uncertainties. Given the advantage of …
science. It involves many immeasurable criteria and uncertainties. Given the advantage of …
A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets
Ranking methods, similarity measures and uncertainty measures are very important
concepts for interval type-2 fuzzy sets (IT2 FSs). So far, there is only one ranking method for …
concepts for interval type-2 fuzzy sets (IT2 FSs). So far, there is only one ranking method for …