Uncertainly measures of rough set prediction
Artificial Intelligence
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rules in incomplete information systems
Information Sciences: an International Journal
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
Data Analysis and Mining in Ordered Information Tables
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A New Rough Set Approach to Multicriteria and Multiattribute Classification
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
Information Sciences: an International Journal
Interval ordered information systems
Computers & Mathematics with Applications
Credible rules in incomplete decision system based on descriptors
Knowledge-Based Systems
A new measure of uncertainty based on knowledge granulation for rough sets
Information Sciences: an International Journal
Dominance-based rough set approach to incomplete interval-valued information system
Data & Knowledge Engineering
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
Fuzzy preference based rough sets
Information Sciences: an International Journal
Approximation reduction in inconsistent incomplete decision tables
Knowledge-Based Systems
Aggregating preference ranking with fuzzy Data Envelopment Analysis
Knowledge-Based Systems
Clustering and ranking university majors using data mining and AHP algorithms: A case study in Iran
Expert Systems with Applications: An International Journal
An extended TOPSIS for determining weights of decision makers with interval numbers
Knowledge-Based Systems
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
Knowledge-Based Systems
Large-margin feature selection for monotonic classification
Knowledge-Based Systems
A complete ranking of incomplete interval information
Expert Systems with Applications: An International Journal
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Ranking decision for interval data is a very important issue in decision making analysis. In recent years, several ranking approaches based on dominance relations have been developed. In these approaches, a dominance degree and an entire dominance degree are employed. However, one cannot obtain the complete rank of objects. To address this problem, this work will propose a two-grade approach to ranking interval data. In this approach, we keep the ranking result induced by the entire dominance degree in the first grade, and then refine the objects that cannot be ranked through introducing a so-called entire directional distance index. An example and a real case are employed to verify the effectivity of the two-grade ranking approach proposed in this paper.