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| Measurement and Comparison of Productivity
Performance Under Fuzzy Imprecise Data
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Full
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Source |
International Journal of Business Research and Management (IJBRM) |
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Table of Contents |
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Complete Issue PDF(1.05MB) |
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Volume: 2 Issue: 1 |
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Pages: 1-52 |
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Publication
Date: March / April 2011 |
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ISSN
(Online): 2180-2165 |
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Pages |
19 - 32 |
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Author(s) |
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Published
Date |
04-04-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Productivity, Fuzzy Set Theory, Efficiency, Performance Measure |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Scribd |
| 3. Docstoc |
| 4. Google Scholar |
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| The creation of goods and services requires changing the expended resources into the output goods and services. How efficiently we transform these input resources into goods and services depends on the productivity of the transformation process. However, it has been observed there is always a vagueness or imprecision associated with the values of inputs and outputs. Therefore, it becomes hard for a productivity measurement expert to specify the amount of resources and the outputs as exact scalar numbers. The present paper, applies fuzzy set theory to measure and compare productivity performance of transformation processes when numerical data cannot be specified in exact terms. The approach makes it possible to measure and compare productivity of organizational units (including non-government and non-profit entities) when the expert inputs can not be specified as exact scalar quantities. The model has been applied to compare productivity of different branches of a company. |
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| Avninder Gill : Colleagues
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