A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization
Author
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Consumers’ opinions toward product design alternatives are often subjective and perceptual, which reflect their perception about a product and can be described using Kansei adjectives.
Therefore, Kansei evaluation is often employed to determine consumers’ preference.
However, how to identify and improve the reliability of consumers’ Kansei evaluation opinions toward design alternatives has an important role in adding additional insurance and reducing uncertainty to successful product design.
To solve this problem, this study employs a consensus model to measure consistence among consumers’ opinions, and an advanced particle swarm optimization (PSO) algorithm combined with Linearly Decreasing Inertia Weight (LDW) method is proposed for consensus reaching by minimizing adjustment of consumers’ opinions.
Furthermore, the process of the proposed method is presented and the details are illustrated using an example of electronic scooter design evaluation.
The case study reveals that the proposed method is promising for reaching a consensus through searching optimal solutions by PSO and improving the reliability of consumers’ evaluation opinions toward design alternatives according to Kansei indexes.
American Psychological Association (APA)
Yang, Yan-pu. 2017. A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1141312
Modern Language Association (MLA)
Yang, Yan-pu. A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1141312
American Medical Association (AMA)
Yang, Yan-pu. A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1141312
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141312