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The aim of this study is to propose a new method to identify and evaluate the risk factors based on strengths-weaknesses-opportunities-threats (SWOT) analysis and D number theory, named D-SWOT method. A wind turbine firm is used to demonstrate the detailed steps of the proposed method. SWOT is conducted to identify the risk factors of production stage of the wind turbine company. Experts are invited to perform the risk assessment, and D number theory is carried out to do the processes of information representation and integration. After that, some suggestions are provided to the company to lower the risks. The D-SWOT method obtains the same results as the previous method of hesitant fuzzy linguistic term set (HFLTS). Compared with HFLTS method, D-SWOT method simplifies the process of information processing, and D-SWOT method is more intuitional and concise. Besides, a property of pignistic probability transformation of D number theory (DPPT) is proposed in the manuscript, which extends D number theory and has been used in the process of decision making of D-SWOT.<\/jats:p>","DOI":"10.3233\/jifs-201277","type":"journal-article","created":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T11:03:45Z","timestamp":1609239825000},"page":"4439-4452","source":"Crossref","is-referenced-by-count":13,"title":["A SWOT method to evaluate safety risks in life cycle of wind turbine extended by D number theory"],"prefix":"10.1177","volume":"40","author":[{"given":"Hongming","family":"Mo","sequence":"first","affiliation":[{"name":"Library, Sichuan Minzu College, Kangding, Sichuan, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-201277_ref2","doi-asserted-by":"crossref","unstructured":"Ackermann T. , Wind power in power systems, John Wiley & Sons, 2005.","DOI":"10.1002\/0470012684"},{"key":"10.3233\/JIFS-201277_ref3","unstructured":"Wagner S. , Bareiss R. and Guidati G. , Wind turbine noise, Springer Science & Business Media, 2012."},{"key":"10.3233\/JIFS-201277_ref4","doi-asserted-by":"crossref","first-page":"2781","DOI":"10.2193\/2007-006","article-title":"Estimating wind turbine\u2013caused bird mortality","volume":"71","author":"Smallwood","year":"2007","journal-title":"Journal of Wildlife Management"},{"key":"10.3233\/JIFS-201277_ref5","doi-asserted-by":"crossref","first-page":"401","DOI":"10.4278\/ajhp.141027-LIT-542","article-title":"Integrated approaches to occupational health and safety: A systematic review","volume":"31","author":"Cooklin","year":"2017","journal-title":"American Journal of Health Promotion"},{"key":"10.3233\/JIFS-201277_ref6","doi-asserted-by":"crossref","first-page":"619","DOI":"10.3390\/en7020619","article-title":"An FMEA-based risk assessment approach for wind turbine systems: a comparative study of onshore and offshore","volume":"7","author":"Shafiee","year":"2014","journal-title":"Energies"},{"key":"10.3233\/JIFS-201277_ref7","doi-asserted-by":"crossref","first-page":"997","DOI":"10.3233\/JIFS-179464","article-title":"Wind turbine evaluation using the hesitant fuzzy AHP-TOPSIS method with a case in Turkey","volume":"38","author":"Beskese","year":"2020","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"10.3233\/JIFS-201277_ref8","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1016\/j.rser.2015.12.028","article-title":"Evaluation of wind turbine noise by soft computing methodologies: A comparative study","volume":"56","author":"Anicic","year":"2016","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"10.3233\/JIFS-201277_ref9","doi-asserted-by":"crossref","first-page":"2061","DOI":"10.1109\/TIA.2016.2519412","article-title":"Quantitative evaluation of wind turbine faults under variable operational conditions","volume":"52","author":"Jin","year":"2016","journal-title":"IEEE Transactions on Industry Applications"},{"key":"10.3233\/JIFS-201277_ref10","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.procs.2016.09.419","article-title":"Fuzzy prioritization approach for risks of wind turbine life cycle","volume":"102","author":"Adem","year":"2016","journal-title":"Procedia Computer Science"},{"key":"10.3233\/JIFS-201277_ref11","doi-asserted-by":"crossref","first-page":"4721","DOI":"10.3233\/JIFS-191416","article-title":"Probabilistic linguistic GRA method for multiple attribute group decision making","volume":"38","author":"Wei","year":"2020","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"10.3233\/JIFS-201277_ref12","doi-asserted-by":"crossref","first-page":"113384","DOI":"10.1016\/j.dss.2020.113384","article-title":"The reliability analysis of rating systems in decision making: When scale meets multi-attribute additive value model","volume":"138","author":"Dong","year":"2020","journal-title":"Decision Support Systems"},{"key":"10.3233\/JIFS-201277_ref13","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.inffus.2020.03.001","article-title":"An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges","volume":"60","author":"Zhang","year":"2020","journal-title":"Information Fusion"},{"key":"10.3233\/JIFS-201277_ref14","doi-asserted-by":"crossref","first-page":"748","DOI":"10.15837\/ijccc.2017.6.3111","article-title":"Fuzzy logic is not fuzzy: World-renowned computer scientist Lotfi A. 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