Analyze the healthcare service requirement using fuzzy QFD

Ka Man Lee, Chloe Tan Ying Ru, C. L. Yeung, King Lun Tommy Choy, W. H. Ip

Research output: Journal article publicationJournal articleAcademic researchpeer-review

62 Citations (Scopus)


Research on the adoption of fuzzy logic in healthcare diagnostic system to oversee the process performance and recognize certain predefined patterns has been conducted for associating the well-known problems using the rule-based approach technique. Even though a couple of medical applications such as those described above had shown generally proven results, the literature regarding applying fuzzy logic in healthcare delivery remains modest and the application of fuzzy logic to healthcare services had been rare. Applying fuzzy logic in healthcare services is still a mostly untapped region, especially collecting the voice of customer. Coupled fuzzy logic with QFD in healthcare services enables medical practitioners to understand customer requirements and include them for continuous improvement during the health service delivery. A fuzzy QFD approach for analyzing healthcare service requirement is proposed and realized through a case study. It is realized that the proposed approach can adjust service quality toward customer requirements.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalComputers in Industry
Publication statusPublished - 1 Jan 2015


  • Fuzzy logic
  • Healthcare service quality
  • Quality function deployment (QFD)
  • Service quality improvement
  • Singapore healthcare industry

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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