The research paper proposes the relevance of a distance-based approach for change mining and suggests a technique for distance-based change mining. Change mining gives an insight to the retailers on the changing purchase behavior of the shoppers. The research makes an attempt to account for the distance between the attribute-values within a feature of the customerprofile while measuring the sim...

For the problem of low discrimination accuracy evolutionary events in dynamic social networks, a community evolution model (EMNI) based on node influence and multi-attribute fusion is proposed. Firstly, topological structure information nodes obtained by random walk local clustering coefficient, evaluated according to nodes. Secondly, order improve discriminating similarity, similarity method T...

this paper seeks two goals concurrently, at one hand tries to assay the capability of topsis, vikor and similarity-based approach as multiple attribute decision making approaches in evaluating mutual funds in iran stock exchange, and at the other hand in this evaluation tries to consider and compare three groups of indices including general evaluating indices (age, net value of mutual fund’s as...

This paper presents a new algorithm FRiS-GRAD of simultaneous informative attributes selection and decision rule construction. This algorithm is based on Function of Rival Similarity (FRiS-function) measuring similarity of objects with standards of rival patterns. Standards or representatives are the objects of training dataset which are the most similar to all other objects of their patterns. ...

Noun phrases (NP) in a product review are always considered as the product attribute candidates in previous work. However, this method limits the recall of the product attribute extraction. We therefore propose a novel approach by generalizing syntactic structures of the product attributes with two strategies: intuitive heuristics and syntactic structure similarity. Experiments show that the pr...

This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making          (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP)          and the technique for order preference by similarity to an ideal solution (TOPSIS).          Since the efficiency score of unity is assigned to ...

Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation common to most proposals is that only intensional knowledge is considered, with little or no consideration for extensional knowledge. In this paper we propose a technique to enrich the intension of an attribute with a...

To evaluate the power quality scientifically and reasonably is of important practical significance. This paper applies attribute mathematics to the power quality evaluation, and puts forward a combination weighting method which is based on similarity weight method and AHM weighting method. At last, the attribute comprehensive evaluation method put forward in the paper is tested by using the mea...

As the core process of case-based reasoning (CBR), case retrieval is foundation for CBR success, and quality depends on similarity measure. We improved system aeroengine fault diagnosis by embedding attitudinal Choquet integral (ACI) 2-order additive measure to consider attribute interactions decision makers’ attitudes. The enhanced method can not only integrate local similarity, importance, in...