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International Journal of General Systems Volume 44, 2015 - Issue 7-8
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Articles

Imprecision indices: axiomatic, properties and applications

A.G. BronevichNational Research University Higher School of Economics, Moscow, Russia.View further author information
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A.E. LepskiyNational Research University Higher School of Economics, Moscow, Russia.Correspondence[email protected]
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Pages 812-832 | Received 27 May 2014, Accepted 21 Jan 2015, Published online: 16 Mar 2015

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Read on this site (3)

Juan Jesús Salamanca. (2021) On parameters for inner products under imprecision and their applications to certain geometric and statistical problems. International Journal of General Systems 50:8, pages 849-870.
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Ignacio Montes, Enrique Miranda & Sébastien Destercke. (2020) Unifying neighbourhood and distortion models: part II – new models and synthesis. International Journal of General Systems 49:6, pages 636-674.
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Gang Li, Hua-Wen Liu & Feng Qin. (2017) Commuting functions with annihilator elements. International Journal of General Systems 46:8, pages 824-838.
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Articles from other publishers (8)

Alexander Lepskiy. (2023) Evidence-Based Aggregation and Ranking in an Ordinal Scale. Procedia Computer Science 221, pages 1066-1073.
Crossref
Andrey G. Bronevich & Alexander E. Lepskiy. (2022) Measures of conflict, basic axioms and their application to the clusterization of a body of evidence. Fuzzy Sets and Systems 446, pages 277-300.
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Alexander Lepskiy. (2022) On Optimal Blurring of Point Expert Estimates and their Aggregation in the Framework of Evidence Theory. Procedia Computer Science 214, pages 573-580.
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Alexander Lepskiy. 2022. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 163 173 .
Andrey G. Bronevich & Natalia S. Spiridenkova. 2018. Advances in Fuzzy Logic and Technology 2017. Advances in Fuzzy Logic and Technology 2017 273 285 .
Alexander Lepskiy. (2017) Decomposition of Evidence and Internal Conflict. Procedia Computer Science 122, pages 186-193.
Crossref
Alexander Lepskiy. 2017. Soft Methods for Data Science. Soft Methods for Data Science 311 318 .
Alexander Lepskiy. 2016. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 25 34 .

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