On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Connectives and quantifiers in fuzzy sets
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Applications and extensions of OWA aggregations
International Journal of Man-Machine Studies
C4.5: programs for machine learning
C4.5: programs for machine learning
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
DEA and the management of the product cycle: the U.S. computer industry
Computers and Operations Research - Special issue on data envelopment analysis
A rough set approach to attribute generalization in data mining
Information Sciences: an International Journal
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF
Applied Intelligence
Soft Computing and Fuzzy Logic
IEEE Software
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Applying rough sets to market timing decisions
Decision Support Systems - Special issue: Data mining for financial decision making
Expert Systems with Applications: An International Journal
Aggregating preference rankings using OWA operator weights
Information Sciences: an International Journal
Application of wrapper approach and composite classifier to the stock trend prediction
Expert Systems with Applications: An International Journal
Comprehensible evaluation of prognostic factors and prediction of wound healing
Artificial Intelligence in Medicine
IEEE Transactions on Fuzzy Systems
OWA operators in data modeling and reidentification
IEEE Transactions on Fuzzy Systems
On the properties of OWA operator weights functions with constant level of orness
IEEE Transactions on Fuzzy Systems
Decision-making with distance measures and induced aggregation operators
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Fuzzy induced generalized aggregation operators and its application in multi-person decision making
Expert Systems with Applications: An International Journal
Decision-making in sport management based on the OWA operator
Expert Systems with Applications: An International Journal
A unified model between the weighted average and the induced OWA operator
Expert Systems with Applications: An International Journal
Uncertain induced aggregation operators and its application in tourism management
Expert Systems with Applications: An International Journal
Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Business operation performance is related to corporation profitability and directly affects the choices of investment in the stock market. This paper proposes a hybrid method, which combines the ordered weighted averaging (OWA) operator and rough set theory after an attribute selection procedure to deal with multi-attribute forecasting problems with respect to revenue growth rate of the electronic industry. In the attribute selection step, four most-important attributes within 12 attributes collected from related literature are determined via five attribute selection methods as the input of the following procedure of the proposed method. The OWA operator can adjust the weight of an attribute based on the situation of a decision-maker and aggregate different attribute values into a single aggregated value of each instance, and then the single aggregated values are utilized to generate classification rules by rough set for forecasting operation performance. To verify the proposed method, this research collects the financial data of 629 electronic firms for public companies listed in the TSE (Taiwan Stock Exchange) and OTC (Over-the-Counter) market in 2004 and 2005 to forecast the revenue growth rate. The results show that the proposed method outperforms the listing methods.