Describe the difference between the notion of fuzzy set membership and traditional set membership, explaining why the notion of fuzziness may be useful in real-world situations, and outlining the series of tasks involved in: determining the degree of membership of an item in a set, the role of decision matrices and partial matching of rules, and methods of defuzzification using decision values to produce output values.