Fuzzy quantifiers and quantifying operators in a connectionist expert system development tool

The authors give information pertaining to the implementation of fuzzy quantifiers and quantifying operators within a connectionist network model. The operators described can be extended to arbitrary input size, by retaining similar overall behavior. Examples are given to show the responses one would obtain when modifying the belief in the inputs. These outputs correspond to responses one would intuitively expect. The importance of having been able to implement these constructs is given in the possibility of formulating more natural-language-like constructs. In conjunction with learning, complex symbolic systems may be modeled in domains which contain significant imprecision in a connectionist network using the technique considered. The methods could also be adapted to other connectionist architectures