Probabilistic Model of Canonically Conjugated Fuzzy Subsets

Language: English

Published by LAP LAMBERT Academic Publishing, 2017

3659623261 / 9783659623264

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Data in informatics is the set of information units. Each information unit can be presented as four: (object, sign, value, plausibility). Inaccuracy belongs to information content ( component 'value'), and uncertainty - to its verity (component 'plausibility'). For the given various information there exists the contradiction between inaccuracy of expression content and its uncertainty: with the increase of expression accuracy, its uncertainty rises as well and vice versa, uncertain character of information leads to some inaccuracy of the final conclusions, received from this information. We see that from one side these notions are in contradiction in a certain way, and from another side - complete each other upon the data presentation. Generally, fuzzy subset is constructed on the basis of expert estimation of one of these commutating components. Constructed in this way, Fuzzy subset incompletely characterizes the informational unit. We offer the method of construction of the informational unit membership function taking into account both canonically conjugated components simultaneously and hence describing this unit in most complete and optimal way.…

Seller Inventory # 9783659623264

Title
Probabilistic Model of Canonically Conjugated Fuzzy Subsets
Author
Magda Tsintsadze
Publisher
LAP LAMBERT Academic Publishing
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659623261
ISBN 13
9783659623264
Item weight
137 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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