A fuzzy-linguistic approach to a multi-criteria sequencing problem
Article Abstract:
A single machine scheduling problem is addressed using fuzzy approach wherein definition of variables are in linguistic terms. These variables may be characterized by fuzzy triangular numbers thereby allowing possible adjustments to the model. This then permits a more realistic modeling since alterations may be made to suit a particular problem. This approach, which makes use of algorithmic solutions, is highly applicable in scheduling operations having 'fuzzy' or indefinite variables such as processing times.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1996
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Application of a measure of proximity to fuzzy control algorithms
Article Abstract:
A decision procedure for selecting the control action when using fuzzy algorithms is presented. The procedure uses approximation of fuzzy values and considers the form and other characteristics of the fuzzy set when the inference rule is applied to the fuzzy algorithm. Mathematical proof and an example illustrate how actual control action is similar to the fuzzy control action derived from the composition of the fuzzy algorithm with the fuzzy input.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1992
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A new adaptive method for extrapolative forecasting algorithms
Article Abstract:
A new adaptive procedure for updating the value of smoothing parameters used in time-series forecasting is developed to maximize information about past performance. To this end, an exponential smoothing model that uses one, two and three smoothing parameters is introduced and used to extend the Holt trend method and Holt-Winters method. Numerical tests of the various implementations are also discussed.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1996
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