Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Case‐Based Reasoning: an overview
AI Communications
A fuzzy CBR technique for generating product ideas
Expert Systems with Applications: An International Journal
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
A fuzzy case-based reasoning model for sales forecasting in print circuit board industries
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy logic approach for dealing with qualitative quality characteristics of a process
Expert Systems with Applications: An International Journal
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
Applying case-based reasoning for product configuration in mass customization environments
Expert Systems with Applications: An International Journal
Application of a hybrid case-based reasoning approach in electroplating industry
Expert Systems with Applications: An International Journal
CBR methodology application in an expert system for aided design ship's engine room automation
Expert Systems with Applications: An International Journal
Case-based similarity assessment: estimating adaptability from experience
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A CBR system for injection mould design based on ontology: A case study
Computer-Aided Design
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
In current practice, the design is still based on the sequential design methodology, which makes the process or manufacture information not considered at the preliminary design stage. In addition, the quality of design and the time to perform them are largely dependent on the experience of the engineers. Case-based design is an intelligent method which involves retrieving the most similar previous cases to provide a solution of a new decision problem. Therefore, case retrieval is the most crucial process in case-based design. However, few studies attempt to research case retrieval in concurrent design. This paper proposes a hybridization of fuzzy similarity measurement (FSM) and fuzzy multi-criteria decision making (FMCDM) for case retrieval from historical cases for concurrent design. In FSM stage, triangular function is used to represent the different fuzzy requirements, respectively, and meanwhile calculate the similarity. Less valuable case is filtered out by defined threshold. Then FMCDM is developed to evaluate the most similar cases in terms of product criteria to pick out the most suitable case. Furthermore, the FSM-FMCDM model is applied to power transformer concurrent design, and the experiment indicates that the FSM-FMCDM retrieval is more reasonable than the prior SM only case retrieval.