In the light of universality of uncertainty, we propose a decision making model in completed information system. Considering the attribute reduction, attribute importance and mismatched information, a multiple attribute decision making model based on importance of attribute is constructed. First of all, decision table is obtained by the knowledge known and deleting reduced attributes. Also, att...

Classification performance can degrade if data contain missing attribute values. Many methods deal with missing information in a simple way, such as replacing missing values with the global or class-conditional mean/mode. We propose a new iterative algorithm to effectively estimate missing attribute values in both training data and test data. The attributes are selected one by one to be complet...

The present study investigates the statistical consequences of attribute misspecification in the rule space method for cognitively diagnostic measurement. The two types of attribute misspecifications examined in the present study are exclusion of an essential attribute (which affects problem-solving performance) and inclusion of a superfluous attribute (which does not). Results of a simulation ...

A genemlized possibility-distribution-fuzzy-relationalmodel is proposed considering semantic ambiguity for membership attribute values and ambiguity contained in them. And then the extended relational algebra is shown. In order to eliminate the semantic ambiguity, a membership attribute is attached to each attribute. This clarifies the origin of membership attribute values. What a membership at...

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

Attribute grammars are a powerful specification formalism for treebased computation, particularly for software language processing. Various extensions have been proposed to abstract over common patterns in attribute grammar specifications. These include various forms of copy rules to support non-local dependencies, collection attributes, and expressing dependencies that are evaluated to a fixed...

Multiple-attribute decision making in the presence of independence between attributes, the shortage of quantitative value of one attribute can be compensated with that of other attributes. But, many a times, this is not true. On another side, the quantitative value of one attribute is treated as equally important in different intervals. However, this violates the law of diminishing marginal rat...

This paper discusses the understanding of quality attributes and their application to the design of a software architecture. We present an approach to characterizing quality attributes and capturing architectural patterns that are used to achieve these attributes. For each pattern, it is important not only how the pattern achieves a quality attribute goal but also what impact the pattern has on...

We introduce a human computation approach for acquiring object attributes and attribute values from the crowd, including a new game called Polarity.