With the evolution of data mining systems, acquisition timely insights from unstructured text is an organizational demand which gradually increasing. The existing opinion systems have a variety properties, such as ranking products’ features and feature level visualizations; however, organizations require decision-making based upon customer feedback. Therefore, system proposed in this work that ...

With respect to multiple attribute decision making (MADM) problems in which the attribute value takes the form of intuitionistic trapezoidal fuzzy number, a new decision making analysis method is developed. Firstly, some operational laws and expected values of intuitionistic trapezoidal fuzzy numbers, and distance between two intuitionistic trapezoidal fuzzy numbers, are introduced, and the com...

This work presents a novel approach that is capable of learning relational domain and generating automated hierarchical multi-attribute model (HMAM) to support the development of decision-making. In this paper, we describe the technique of generalizing data in relationaldomainusinggranularity computingasameansofdata summarization toautomateand support the construction of HMAM for decision-makin...

In the paper we present Rough Set approach to reasoning in incomplete information systems. We propose reduction of knowledge that eliminates only that information, which is not essential from the point of view of classification or decision making. In our approach we make only one assumption about unknown values: the real value of a missing attribute is one from the attribute domain. However, we...