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New Measures of Uncertainty for Interval-Valued Data With Application to Attribute Reduction
IEEE Access, 2022 Uncertainty measurement (UM) gives a brand-new perspective on attribute reduction in an information system (IS). Interval-valued data is a kind of very vital data in rough set theory (RST).
Lulu Li
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Interval-valued intuitionistic neutrosophic hypersoft TOPSIS method based on correlation coefficient [PDF]
Neutrosophic Sets and Systems, 2022 In multi-criteria decision-making problems, we may have to deal with numbers that are in interval forms, like those of membership, non-membership grades and indeterminacy grades representing unique attributes of elements. When decision-makers come across
A. Bobin, V. Chinnadurai
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From interval-valued data to general type-2 fuzzy sets [PDF]
, 2014 In this paper, a new approach is presented to model interval-based data using fuzzy sets (FSs). Specifically, we show how both crisp and uncertain intervals (where there is uncertainty about the endpoints of intervals) collected from individual or ...
Anderson, Derek T. +4 more
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On the implementation of LIR: the case of simple linear regression with interval data [PDF]
, 2012 This paper considers the problem of simple linear regression with interval-censored data. That is, n pairs of intervals are observed instead of the n pairs of precise values for the two variables (dependent and independent).
Cattaneo, Marco E. G. V. +1 more
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Data Analysis Approaches of Interval-Valued Fuzzy Soft Sets Under Incomplete Information
IEEE Access, 2019 Interval-valued fuzzy soft set theory is a new and developing mathematical tool, which figures out a creative way aiming at dealing with uncertain and fuzzy data.
Hongwu Qin, Xiuqin Ma
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Certain operations on interval-valued picture fuzzy graphs with application
International Journal of Mathematics for Industry, 2023 Graph theory has various applications in computer science, such as image segmentation, clustering, data mining, image capturing, and networking. Fuzzy graph (FG) theory has been widely adopted to handle uncertainty in graph-related problems.
Biswajit Das Adhikari +3 more
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Inverse spectral problems for Sturm--Liouville operators with matrix-valued potentials
, 2009 We give a complete description of the set of spectral data (eigenvalues and specially introduced norming constants) for Sturm--Liouville operators on the interval $[0,1]$ with matrix-valued potentials in the Sobolev space $W_2^{-1}$ and suggest an ...
Adams R A +29 more
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Interval Valued Data Enhanced Fuzzy Cognitive Map: Towards an Approach for Autism Deduction in Toddlers [PDF]
, 2017 Fuzzy Cognitive Maps (FCMs) are a soft computing technique characterized by robust properties that make them an effective technique for medical decision support systems.
Al Farsi, Alya +4 more
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IEEE Access, 2019 An interval-valued picture fuzzy set (IVPFS) is one of the generalizations of an interval-valued fuzzy set to handle the uncertainties in the data during analysis.
Ahmed Mostafa Khalil +4 more
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IEEE Access, 2020 Fault detection and diagnosis (FDD) of wind energy conversion (WEC) systems play an important role in reducing the maintenance and operational costs and increase system reliability.
Majdi Mansouri +7 more
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