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Experimental design with fuzzy levels

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Abstract

A novel technique is introduced for planning experimental design employing fuzzy rule-based systems. The significant aspect of the proposed experimental design with fuzzy levels (EDFL) is assigning a membership function for each level of variable factors. Consequently, the design matrix and observed responses can be represented in a set of fuzzy rules. Several examples are presented to clarify the proposed idea and the results are compared with the conventional Taguchi methodology. We have specifically planned an L18 orthogonal array EDFL for the solder paste printing stage of surface mount printed circuit board assembly to provide a model for the process and to optimize the selection of variable factors.

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Authors and Affiliations

  1. Manufacturing Automation Research Group, Department of Manufacturing and Mechanical Engineering, Nottingham Trent University, Burton Street, Nottingham, NG1 4BU, UK

    A. LOTFI  & M. HOWARTH

Authors
  1. A. LOTFI
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  2. M. HOWARTH
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LOTFI , A., HOWARTH , M. Experimental design with fuzzy levels. Journal of Intelligent Manufacturing 8, 525–532 (1997). https://doi.org/10.1023/A:1018582921530

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  • DOI: https://doi.org/10.1023/A:1018582921530

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