This paper presents an application of Information Gain (IG) attribute evaluation to the classification of the sonar targets with C4.5 decision tree. C4.5 decision tree has inherited ability to focus on relevant features and ignore irrelevant ones, but such method may also benefit from independent feature selection. In our experiments, IG attribute evaluation significantly improves C4.5 decision...

10 This article proposes a framework to handle multiattribute group decision making 11 problems with incomplete pairwise comparison preference over decision alternatives 12 where qualitative and quantitative attribute values are furnished as linguistic variables 13 and crisp numbers, respectively. Attribute assessments are then converted to interval14 valued intuitionistic fuzzy numbers (IVIFNs...

This study seeks to better understand bidding decision support in multi-attribute reverse auctions. It views bidding as a decision making process and attempts to determine how tools that aid different stages of the decision making process affect the quality of the bids submitted. Two experiments reveal that decision support tools that impact all the stages of a bidder's decision making process ...

The dynamic multi-attribute decision making problems with intuitionistic fuzzy information are investigated. The notions of intuitionistic fuzzy variable and uncertain intuitionistic fuzzy variable are defined, and two new aggregation operators: dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator and uncertain dynamic intuitionistic fuzzy weighted averaging (UDIFWA) operator are pr...

This paper focuses on three types of attribute reducts in inconsistent decision tables: assignment reduct, distribution reduct, and maximum distribution reduct. It is quite inconvenient to judge these three types of reduct directly according to their definitions. This paper proposes judgment theorems for the assignment reduct, the distribution reduct and the maximum distribution reduct, which a...

Abstract: This paper studies the multiple attribute group decision making problems, in which the decision makers (DMs) have multiplicative preference information on alternatives. We first make the decision information uniform by using a transformation formula and introduce some linear deviation elements, and then establish a constrained optimization model. Based the model, an approach is develo...