Fuzzy Cognitive Maps for Engineering and Technology Management: What Works in Practice?
Abstract
Due to a lack of available data, many early planning decisions in engineering and technology management have to be based on experts' opinions and their qualitative statements about evolving technologies, markets and general business environments. Several authors have suggested the use of fuzzy cognitive maps (FCMs) to analytically support these decisions with simulation models that can cope with qualitative information. However, only little practice experience is documented. Based on multiple case studies and an extensive literature review, the paper reviews the state-of-the-art of FCM-practice and introduces a six-step guideline for practitioners and researchers who wish to apply FCMs to real-world problems
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The FCM analytical method permits qualitative graphs to be computable and analyzed using statistical techniques.
“The FCM analytical method permits qualitative graphs to be computable and analyzed using statistical techniques [7].”
From Supporting underrepresented students in health sciences: a fuzzy cognitive mapping approach to program evaluation (2024) · cites this paper as [7]
FCM is an evidence-based methodology proven as a reliable knowledge-based model that facilitates sense-making by helping program participants communicate strategies and decisions.
“FCM is an evidence-based methodology proven as a reliable knowledge-based model that facilitates “sense-making” by helping program participants communicate strategies and decisions [7, 8].”
From Supporting underrepresented students in health sciences: a fuzzy cognitive mapping approach to program evaluation (2024) · cites this paper as [7]
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Sorted by citations
Chiang, D. F., Guerrero, S. A., Sexton, E. C., & Gardner, S. S. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05292-7 · Cited by 2 · see citing works
- Authors
- Jetter, A.
- Affiliations
- Portland State University (US)
- Corresponding author
- Jetter, Antonie
- ORCID
- Jetter, Antonie
- Venue
- 2006 Technology Management for the Global Future - PICMET 2006 Conference
- Publisher
- IEEE
- Published
- 2006-07
- Pages
- 498-512
- OpenAlex
- W2028204169
- Cited by
- 56
- References
- 0
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 8 · 2018: 2 · 2017: 4 · 2016: 4 · 2015: 1 · 2014: 3 · 2013: 3 · 2012: 2
- FWCI
- 0.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Portland International Conference on Management of Engineering and Technology (PICMET) (publishedVersion)
- PDXScholar (Portland State University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Science and Mapping
- Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Keywords
- fuzzy cognitive maps, expert opinion, qualitative data, computer simulation, technology forecasting, decision support, application guidelines
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