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Sample Size Formula in Work Measurement under a Fuzzy Environment (1994)

Gill, A. ; Bector, C.R. ; Hawaleshka, O.

Bingley : Emerald

International journal of operations & production management 14 (1994), S. 89-98

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ISSN: 0144-3577

Source: Emerald Fulltext Archive Database 1994-2005

Topics: Economics

Notes: The sample size formula is extensively used in work measurement.However, this formula, based on statistical techniques, demands thatparameters should be precisely assessed. In some situations, when thereis vagueness involved in the assessment of parameters, the resultsobtained using this formula could be erroneous. Redesigns this formulain a fuzzy environment where its parameters can be specifiedimprecisely. This gives "leeway" to the user in stating the parameters, inthe sense that parameters can be specified in a range. The strength offuzzy set theory lies in the possibility of quantifying and manipulatingqualitative statements, vagueness, lack of data, or subjectivity ofopinion.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1108/01443579410049270

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