This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple 〈Subject, Attribute, Value〉, we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Attribute-Value pairs from a given text and (b) the process of judging whether...

In the selection process of survival strategies, it is a challenging work to automatically choose the optimal measure for the survival event. A dynamic selection algorithm is proposed, based on feedback control. According to the feature of survival strategy, the strategy model is presented, which includes fuor specific attribute. The dynamic update process of attribute vector is described in de...

In order to deal with the difficulty of ranking interval numbers in the multiple attribute decision making process, interval numbers are expressed in the Rectangular Coordinate System. On the basis of this, two-dimensional relations of interval numbers are analyzed. For interval numbers, their advantage degree functions of the symmetry axis and the length are deduced after an information mining...

Supply Chain Operations Reference (SCOR) model is developed and maintained by the Supply Chain Council (SCC). The model is a reference model which can be utilized to map benchmark and improve the supply chain operations. SCOR model provides companies with a basic process modeling tool, an extensive benchmark database by defining a set of supply chain metrics. This paper explains the process and...

In this article we investigate an attribute-oriented induction approach for acquisition of abstract knowledge from data stored in a fuzzy database environment. We utilize a proximity-based fuzzy database schema as the medium carrying the original information, where lack of precise information about an entity can be reflected via multiple attribute values, and the classical equivalence relation ...

Rough set is a valid mathematical tool that deals with uncertain, vague and incomplete information of decision systems. Attribute reduction is one of the issues in rough set theory, and core attributes are indispensable in the process of attribute reduction. Recently, some researchers proposed the method of binary discernibility matrix to compute the results of attribute reduction, which can no...

We present a theory for the design and verification of distributed transactions in dynamically reconfigurable systems. Despite several formal approaches have been proposed to study distributed transactional behaviours, the inter-relations between failure propagation and dynamic system reconfiguration still need investigation. We propose a formal model for transactions in Service Oriented Archit...

AQ learning strives to perform natural induction that aims at deriving general descriptions from specific data and formulating them in human-oriented forms. Such descriptions are in the forms closely corresponding to simple natural language statements, or are transformed to such statements in order to make computer generated knowledge easy to interpret and understand. An important feature of na...