Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process

Shintae Kim, Keeheon Lee, Jang Kyun Cho, Chang Ouk Kim

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)


This paper focuses on the product diffusion in a competitive automobile market. Since purchasing a car is costly, the consumers in the market tend to behave like rational decision makers. They naturally compare the attributes of cars (e.g.; brand preference, fuel economy, safety, comfort) and make overall decisions. In this paper, we propose an agent-based (AB) diffusion model consisting of tens of thousands of interacting agents. In the model, an agent represents a consumer and bases its multi-attribute decision-making on fuzzy TOPSIS. The decision-making process integrates three purchasing forces: expert's product information provided by mass media, subjective weights on product attributes assigned by individual consumers, and social influence (i.e.; information delivered from a consumer's neighbors who have already adopted products). The AB model executes the agents and observes the collective behavior. In this sense, the model can assist in the analysis of the complex market dynamics. We conducted an empirical study to verify the performance of the AB model.

Original languageEnglish
Pages (from-to)7270-7276
Number of pages7
JournalExpert Systems with Applications
Issue number6
Publication statusPublished - 2011 Jun

Bibliographical note

Funding Information:
This work was supported by the Korea Research Foundation Grant ( KRF-2009-013-D00136 ).

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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