New PDF release: Advanced Methods for Inconsistent Knowledge Management

By Professor Ngoc Thanh Nguyen DSc, PhD (auth.)

ISBN-10: 1846288886

ISBN-13: 9781846288883

ISBN-10: 1846288894

ISBN-13: 9781846288890

Inconsistent wisdom administration is a standard sub-field of data administration and clash answer. It bargains with tools for reconciling inconsistent contents of information originating from assorted assets. This e-book provides a unified and systematic description of a large type of miscellaneous difficulties of inconsistent wisdom administration, analyzed by way of conventional mathematical equipment utilizing relational and logical representations. With specific emphasis at the distribution element of data inconsistency, Professor Nguyen presents a special method of formal versions of inconsistency and algorithms for its resolution.

Features & subject matters include:

• Consensus as a device for clash solving

• Inconsistency of information – syntactic & semantic

• wisdom clash model

• Ontology Integration

• functional facets of functions of proposed methods

This ebook offers a extensive photograph of clever applied sciences for inconsistency answer and provides a useful resource of reference at the subject. Written for researchers and scholars within the box of data administration, clash resolution and clever platforms, this publication can also be of use to designers of multi-agent and knowledge platforms and experts from social selection idea, and all drawn to the issues of processing and handling inconsistent knowledge.

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Additional info for Advanced Methods for Inconsistent Knowledge Management

Sample text

In the literature there are three approaches for defining consensus choice functions: axiomatic, constructive, and optimization. In the axiomatic approach for the alternatives ranking problem a set of axioms has been fixed for the class of so-called Condorcet social choice functions (a consensus choice function C is a Condorcet function if and only if it satisfies the following Condorcet principle: for all situations (A, P) there should be C(A, p) = {x}, whenever x ∈ A and (x, y) ∈ Wp for all y ∈ A\{x}).

It is proved that if we can assume that the experts solve the problem with the same degree of credibility then a conflict profile with low consistency value can be better than a conflict profile with high consistency in the sense that the consensus determined on the basis of the first profile may be nearer to the proper solution than the consensus determined on the basis of the second profile. Consistency value then has sense for such conflict profiles which are sets of opinions of participants, referring to whom we cannot assume any degrees of credibility, as with the set of criminal witnesses presented above.

For example, {2 ∗ x, 3 ∗ y, 1 ∗ z} ⊆ {2 ∗ x, 4 ∗ y, 1 ∗ z}. Set U can have two kinds of structure: the macrostructure and the microstructure. By a macrostructure of U we understand some relationship between its elements, for example, a binary relation on U, or some relationship between its elements and elements of another set, for example, some function from U × U to another set. In this work as the macrostructure of the set U we assume a distance function: d: U × U → [0, 1], which is 1. Nonnegative: ∀x,y ∈ U: d(x,y) ≥ 0, 2.

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Advanced Methods for Inconsistent Knowledge Management by Professor Ngoc Thanh Nguyen DSc, PhD (auth.)

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