A Product Conceptual Evaluation Method Combining Interval Fuzzy TOPSIS and AHP

DOI

10.2991/icadme-16.2016.19How to use a DOI?

Keywords

Conceptual evaluation; Interval fuzzy; Analytic hierarchy process; TOPSIS algorithm.

Abstract

A product conceptual evaluation method combining analytic hierarchy process (AHP) and interval fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was proposed in this paper. The weights of evaluation criteria were determined by AHP, where nine-level evaluation scales were defined to measure the importance of evaluation criteria and the judgment matrix was also constructed. We use interval fuzzy theory to express uncertain information for product performance evaluation, then we established the interval fuzzy evaluation matrix, based on which the improved ideal solution and the negative ideal solution was defined. On the basis of the above, the distances between each alternative to the positive and negative ideal solution were calculated, which were used to compute the clossness degree of each alternative to compare and rank the alternatives. At last, an illustrative example was discussed to validate the practicability and feasibility of the established evaluation method and theory.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaohua Lin
AU  - Wenhua Jia
AU  - Guo Li
PY  - 2017/07
DA  - 2017/07
TI  - A Product Conceptual Evaluation Method Combining Interval Fuzzy TOPSIS and AHP
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 110
EP  - 114
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.19
DO  - 10.2991/icadme-16.2016.19
ID  - Lin2017/07
ER  -