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 standard sub-field of information administration and clash solution. It offers with equipment for reconciling inconsistent contents of information originating from assorted resources. This publication offers a unified and systematic description of a large type of miscellaneous difficulties of inconsistent wisdom administration, analyzed by means of conventional mathematical tools utilizing relational and logical representations. With unique emphasis at the distribution point of data inconsistency, Professor Nguyen offers a different method of formal types of inconsistency and algorithms for its resolution.

Features & subject matters 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 presents a large picture 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 answer and clever structures, this booklet can also be of use to designers of multi-agent and knowledge platforms and experts from social selection thought, and all drawn to the issues of processing and coping with inconsistent knowledge.

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Extra info for Advanced Methods for Inconsistent Knowledge Management

Sample text

The set of all sums of distances: D(X) = {d(x, X): x∈U}. • The minimal average distance from an element to the elements of profile X: dmin(X) = 1 min (D(X)). M These parameters are now applied for defining the following consistency functions, c1 ( X ) = 1 − Diam( X ) , c2 ( X ) = 1 − Diam(W X ) , c3 ( X ) = 1 – d mean ( X ) , c4 ( X ) = 1 – dt_mean(X), c5 ( X ) = 1 − d min ( X ). Some comments for the defined functions: • c 1(X): This function reflects the maximal distance between two elements of profile X.

B) The set of all postulates is not contradictory, meaning that there exist a universe and a function which satisfies all the postulates; that is, formula P1a ∧ P1b ∧ P2a ∧ P2b ∧ P2c ∧ P3 ∧ P4 ∧ P5 ∧ P6 ∧ P7a ∧ P7b ∧ P8 is satisfied. 4. Consistency Measure for Conflict Profiles 33 Proof. (a) It is easy to check the lack of truth of all formulae p ⇒ p′ where p, p′∈ P and p ≠ p′. The reason is that each postulate occupies a region in the set C of all consistency functions, and although these regions may overlap they are not included one in another.

However, for each value of M the value of function c3 is constant and equals 0, whereas c4(X) = 1 – M −1 2 = . M +1 M +1 Values4of c then better reflect this situation than those3of c . • c5(X): The minimal average distance between an element of universe U and elements of X. The elements of universe U which generate the minimal average distance to elements of profile X may be treated as representatives for this profile. The average distance between a 42 2. Model of Knowledge Conflict representative to the profile elements also reflects the coherence of the profile.

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