background: understanding customers has become an urgent topic for increasing competitiveness. the purpopse of  the study was to develop a qualitative dynamic attribute value model which provides insight into the customers' value for healthcare institute managers by conducting the initial open-ended questionnaire survey to select participants purposefully. methods: a total number of 427 questio...

In this paper proposed a hybrid model for feature selection and intrusion detection. Feature selection is important issue in intrusion detection. The selection of feature in attack attribute and normal traffic attribute is challenging task. The selection of known and unknown attack is also faced a problem of classification. PCNN is dynamic network used for the process of feature selection in cl...

In this paper, we present a framework for reasoning about the value of information processing dependability investments called the Information Dependability Attribute Value Enhancement (iDAVE) model. We describe the overall structure of iDAVE, and illustrate its use in determining the ROI of investments in dependability for a commercial order processing system. We conclude that dynamic and adap...

Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules. However, dynamic information databases, which record attribute values changing with time, raise questions to rough set based multiple attribute reduction...

this article studies the generative grammar approach and some other theories driven from it to lexicon and lexical entries. generative grammar is known as a syntax-based theory, so some aspects of language which have been studied in this theory may have been ignored in other theories. this article shows that more attention has been given to lexicon and lexical entries since 50s. we may claim th...

Abstract This paper takes the time weight and attribute weight in different periods into consideration to propose a dynamic triangular fuzzy number type multi-attribute decision making method to solve the problem with multi-attribute decision making with triangular fuzzy number as the attribute value. This method utilizes the characteristics of the triangular fuzzy number in order to establish ...

BACKGROUND Understanding customers has become an urgent topic for increasing competitiveness. The purpopse of the study was to develop a qualitative dynamic attribute value model which provides insight into the customers' value for healthcare institute managers by conducting the initial open-ended questionnaire survey to select participants purposefully. METHODS A total number of 427 question...

This paper presents a model of individual consumer choice behavior for separate choice occasions. Contrary to the popular notion that each choice is essentially independent of its predecessors, that very dependence is proposed as the key to variety seeking behavior. From the consumption history one can infer which valued attributes the subject has recently consumed and in what quantities. Compa...