Title :
Soft computing and fuzzy logic
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Discusses soft computing, a collection of methodologies that aim to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness, and low solution cost. Its principal constituents are fuzzy logic, neurocomputing, and probabilistic reasoning. Soft computing is likely to play an increasingly important role in many application areas, including software engineering. The role model for soft computing is the human mind.<>
Keywords :
fuzzy logic; inference mechanisms; neural nets; software engineering; uncertainty handling; fuzzy logic; human mind; imprecision; low solution cost; neurocomputing; probabilistic reasoning; robustness; soft computing; software engineering; software methodologies; tractability; uncertainty; Costs; Eyes; Fuzzy logic; Humans; Pervasive computing; Probabilistic logic; Robustness; Testing; Traveling salesman problems; Uncertainty;
Journal_Title :
Software, IEEE
