New Concepts and Methods in Information Aggregation
نویسندگان
چکیده
This paper summarizes some results of the authors’ research that have been carried out in recent years on generalization of conventional aggregation operators. Aggregation of information represented by membership functions is a central matter in intelligent systems where fuzzy rule base and reasoning mechanism are applied. Typical examples of such systems consist of, but not limited to, fuzzy control, decision support and expert systems. Since the advent of fuzzy sets a great number of fuzzy connectives, aggregation operators have been introduced. Some families of such operators have become standard in the field. Nevertheless, it also became clear that these operators do not always follow the real phenomena. Therefore, the suggested new operators satisfy natural needs to develop more sophisticated intelligent systems.
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