DOI QR코드

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Price estimation based on business model pricing strategy and fuzzy logic

  • Callistus Chisom Obijiaku (Department of Electronics and Computer Engineering, Chonnam National University) ;
  • Kyungbaek Kim (Department of Artificial Intelligence Convergence, Chonnam National University)
  • 투고 : 2022.10.28
  • 심사 : 2022.12.13
  • 발행 : 2023.02.28

초록

Pricing, as one of the most important aspects of a business, should be taken seriously. Whatever affects a company's pricing system tends to affect its profits and losses as well. Currently, many manufacturing companies fix product prices manually by members of an organization's management team. However, due to the imperfect nature of humans, an extremely low or high price may be fixed, which is detrimental to the company in either case. This paper proposes the development of a fuzzy-based price expert system (Expert Fuzzy Price (EFP)) for manufacturing companies. This system will be able to recommend appropriate prices for products in manufacturing companies based on four major pricing strategic goals, namely: Product Demand, Price Skimming, Competition Price, and Target population.

키워드

과제정보

This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the Innovative Human Resource Development for Local Intellectualization support program (IITP-2022-RS-2022-00156287)supervised by the IITP (Institute for Information & communications Technology Planning Evaluation).

참고문헌

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