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

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

Inconsistent wisdom administration is a typical sub-field of data administration and clash answer. It offers with equipment for reconciling inconsistent contents of information originating from varied resources. This ebook offers a unified and systematic description of a large classification of miscellaneous difficulties of inconsistent wisdom administration, analyzed by way of conventional mathematical equipment utilizing relational and logical representations. With targeted emphasis at the distribution element of data inconsistency, Professor Nguyen offers a special method of formal types of inconsistency and algorithms for its resolution.

Features & issues include:

• Consensus as a device for clash solving

• Inconsistency of data – syntactic & semantic

• wisdom clash model

• Ontology Integration

• useful points of purposes of proposed methods

This booklet offers a extensive picture of clever applied sciences for inconsistency solution and gives a useful resource of reference at the subject. Written for researchers and scholars within the box of data administration, clash answer and clever structures, this ebook can 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 dealing with inconsistent knowledge.

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Advanced Methods for Inconsistent Knowledge Management

Inconsistent wisdom administration is a standard sub-field of data administration and clash answer. It offers with equipment for reconciling inconsistent contents of information originating from assorted assets. This booklet offers a unified and systematic description of a large type of miscellaneous difficulties of inconsistent wisdom administration, analyzed through conventional mathematical tools utilizing relational and logical representations.

Additional info for Advanced Methods for Inconsistent Knowledge Management

Sample text

Function c5 also is good in referring to the number of satisfied postulates. Function c1 is very simple to calculate and it satisfies 6 postulates, although it does not satisfy any of postulates P6, P7a, P7b, or P8. Referring to functions c2, c3, and c4 we know that they satisfy postulates P7a, P7b, that is, the postulates for consistency improvement. Below we present some other property of these functions referring to another kind of consistency improvement. 1. 4. 8. Let X ∈ Π(U), X = {x1, x2, .

Although the subject of a method in choice theory is a set X (of alternatives, objects) being a subset of a universe U, the choice is based on the selection of a subset of X, whereas the consensus of X must not be an element of X. Furthermore, a consensus of set X must not have the same structure as the elements of X, what is assumed in choice theory. At the beginning of consensus research the authors most often dealt with simple structures of the elements of universe U, such as linear or partial orders.

Consensus as a Tool for Conflict Solving The committee election problem can be described as follows. From a nonempty set S = {s1, s2, . . , a nonempty subset of S) should be selected as the outcome of an election in which votes (as one-element subsets of S) are cast by n > 0 voters v1, v2, . . , vn. These votes create a profile P = (p1, p2, . . , pn) ∈ S n, where pi is the vote of vi, for i = 1, . . , n. The problem is based on defining a consensus choice function which should determine a committee on the basis of a set of votes.

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