On multi-period multi-attribute decision making
Knowledge-Based Systems
Dependent uncertain ordered weighted aggregation operators
Information Fusion
Dynamic intuitionistic fuzzy multi-attribute decision making
International Journal of Approximate Reasoning
Choquet integrals of weighted intuitionistic fuzzy information
Information Sciences: an International Journal
Intuitionistic fuzzy multiple attribute group decision making based on projection method
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Aggregation functions based on penalties
Fuzzy Sets and Systems
Power-geometric operators and their use in group decision making
IEEE Transactions on Fuzzy Systems
An integrated model-based interactive approach to FMAGDM with incomplete preference information
Fuzzy Optimization and Decision Making
An extended TOPSIS for determining weights of decision makers with interval numbers
Knowledge-Based Systems
Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
Multi-criteria group decision making method based on intuitionistic linguistic aggregation operators
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions, paying attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modelling and solving problems. The book contains 34 chapters divided into two parts. The first part is divided into two sections. Section 1 contains four review papers introducing some non standard representations that extend fuzzy sets (type-2 fuzzy sets, Atanassovs IFS, fuzzy rough sets and computing with words under the fuzzy sets perspective). Section 2 reviews different aggregation issues from a theoretical and practical point of view; this second part is divided into four sections. Section 3 is devoted to decision making, with seven papers that show how fuzzy sets and their extensions are an important tool for modelling choice problems. Section 4 includes eight papers that cover different aspects on the use of fuzzy sets and their extensions in data mining, giving an illustrative review of the state of the art on the topic. Section 5 is devoted to the emergent topic of web intelligence and contains four papers that show the use of fuzzy sets theory in some problems that can be tackled in this topic. Section 6 is devoted to the use of fuzzy sets and their extensions in the field of computer vision, suggesting how these can be an useful tool in this area. This volume will be extremely useful to any non-expert reader who is keen to get a good overview on the latest developments in this research field. It will also support those specialists who wish to discover the latest resultsand trends in the abovementioned areas.