Assignment Reductions in Inconsistent Ordered Intuition Fuzzy Information Decision Tables
نویسندگان
چکیده
منابع مشابه
Assignment Reductions in Inconsistent Ordered Intuition Fuzzy Infor- mation Decision Tables
In the real-world, most information systems are based on dominance relations and may be inconsistent. Moreover, taking the imprecise evaluations in the description of objects into account, intuition fuzzy information systems are introduced to handle with this problem. In this paper, attribute reductions are discussed in inconsistent ordered intuition fuzzy information decision tables. The conce...
متن کاملCore set analysis in inconsistent decision tables
Core set inconsistency always causes confusion regarding how to select the proper core set for data reduction in inconsistent decision tables. In this paper, partitions of knowledge granules are introduced to analyze this inconsistency, and it is concluded that there are only three types of effective partitions: those that focus on exact information, those that focus on exact, partial, and nega...
متن کاملApproximation reduction in inconsistent incomplete decision tables
0950-7051/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.knosys.2010.02.004 * Corresponding author. Address: Key Laboratory o and Chinese, Information Processing of Ministry of China. E-mail addresses: [email protected] (Y. Qian [email protected] (D. Li), [email protected] (F. W (N. Ma). This article deals with approaches to attribute reductions in inconsistent incomplete decision tabl...
متن کاملQuick attribute reduction in inconsistent decision tables
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...
متن کاملKnowledge Reduction in Inconsistent Decision Tables
In this paper, we introduce a new type of reducts called the λ-Fuzzy-Reduct, where the fuzzy similarity relation is constructed by means of cosine-distances of decision vectors and the parameter λ is used to tune the similarity precision level. The λ-Fuzzy-Reduct can eliminate harsh requirements of the distribution reduct, and it is more flexible than the maximum distribution reduct, the tradit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Open Automation and Control Systems Journal
سال: 2014
ISSN: 1874-4443
DOI: 10.2174/1874444301406011253