A Fuzzy Inference System for Selecting Product Design Concept

DOI

10.2991/978-94-6463-924-7_15How to use a DOI?

Keywords

Fuzzy Inference Systems; Fuzzy Logic; Design Concept Selection

Abstract

The product design and development process involve several phases that are implemented systematically to ensure the product is successful and meets consumer needs. One of the important stages in this process is the selection of product design concepts, which aims to determine the most appropriate design concept. The purpose of this paper is to develop a design concept selection method using the Mamdani Fuzzy Inference System (Mamdani FIS) to overcome the ambiguity and uncertainty that often arise during the evaluation and assessment process. The method is applied to select the most appropriate rice seedling planter design concept for further development. Four rice seedling planter concepts were evaluated and selected based on a set of criteria. This study resulted in a rice seedling planter design concept with a suitability score of 7.32, which is the highest score among the other concepts, making it the best concept for further product development. Furthermore, based on the final score of each concept, one concept is categorized as fair, while the other three concepts are categorized as good. The impact of this research is that the use of Mamdani FIS enables designers to manage subjective and hard to measure data more effectively and efficiently, ultimately supporting more accurate and reliable decision making in the product design concept selection process.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gabriel Sianturi
AU  - Agus Riyanto
AU  - M. Yani Syafei
AU  - Diana Andriani
AU  - Najib Amir Rudin
PY  - 2025
DA  - 2025/12/16
TI  - A Fuzzy Inference System for Selecting Product Design Concept
BT  - Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)
PB  - Atlantis Press
SP  - 174
EP  - 185
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-924-7_15
DO  - 10.2991/978-94-6463-924-7_15
ID  - Sianturi2025
ER  -