R70-30 Fuzzy Logic and Its Application to Switching Systems

One of the problems in computer science is the gap between natural languages for human beings and programming languages for digital computers, since the former are much more complex than the latter. This is due to the fact that natural languages are fuzzy in nature but programming languages are precise. For example, when we say that a certain university is a good university, fuzziness arises since there is no sharp boundary between a good university and an average one. A university may be good from one person´s point of view, but may be considered as just an average one in another person´s opinion. To solve a problem by a computer, a great deal of time and energy would be saved if the computer could understand either natural languages themselves or something close to them. In other words, computers would become more powerful if they could accept fuzzy concepts similar to the capability of a human brain.