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This document provides an introduction to fuzzy mathematics and fuzzy sets. It discusses how fuzzy set theory was developed to model ambiguity and partial membership, as classical sets cannot adequately describe situations involving imprecision or vagueness. Examples are given of concepts that cannot be clearly defined, such as whether someone is tall, old, or honest. The birth of fuzzy set theory is summarized, noting that Lotfi Zadeh developed the theory in 1965 to model non-random uncertainties involving

Author

Avijit Samanta

Language

EN