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

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

ISBN-10: 1846288886

ISBN-13: 9781846288883

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

• sensible elements of purposes of proposed methods

This e-book offers a extensive photograph of clever applied sciences for inconsistency answer and gives a useful resource of reference at the subject. Written for researchers and scholars within the box of information administration, clash resolution and clever structures, this ebook can be of use to designers of multi-agent and knowledge platforms and experts from social selection conception, and all attracted to the issues of processing and handling inconsistent knowledge.

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Extra info for Advanced Methods for Inconsistent Knowledge Management

Sample text

Because d(x, y) = 0 for x = y, then adding such distance does not change the value of the numerator. However, in determining the average each distance should be taken into account twice. Thus the denominator should be k(k + 1), but not k2. 4 where we have profile X = {a, b} and M = 2. In sum ∑ d ( x, y ) x , y∈X distance d(a, b) appears twice because d(a,b) = d(b,a), therefore for calculating the total average of distances each of the distances d(a,a) and d(b,b) should be taken into account twice.

2. A knowledge conflict referring to subject s appears if at least one of profiles X +(s) and X − (s) is heterogeneous. 1 it follows that a conflict takes place if at least two agents generate different (positive or negative) knowledge states referring to the same subject. Notice that in this definition there is no reference to the uncertain profile X ±(s). The reason is that the role of uncertain knowledge is not as important as the role of the two remaining kinds of knowledge. If referring to a subject the agents have identical positive and negative knowledge then although their states of uncertainty are different, then there is no conflict.

Because d(x,X) = min{d(t,X): t ∈ U}, it implies that d(x,Y) = min{d(t,Y): t ∈ U}. 4. Consistency Measure for Conflict Profiles 35 In addition we have d(x, X) = d(x, Y). Taking into account the fact that card (Y) = card(X) + 1 it follows min {d (t , X ) : t ∈ U } min {d (t , Y ) : t ∈U } ≥ . card ( X ) card (Y ) Because function c satisfies postulate P6 then we have c(X) ≤ c(X ∪ {x}). ♦ This property allows improving the consistency value by adding to the profile an element which generates the minimal sum of distances to the profile’s elements.

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