{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T05:02:02Z","timestamp":1782363722115,"version":"3.54.5"},"reference-count":17,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2020,4,18]],"date-time":"2020-04-18T00:00:00Z","timestamp":1587168000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,6,25]]},"abstract":"<jats:p>\n                    Intellectual property pledge financing is an innovative application of derivative financial instruments, which provides new financing channels for enterprises with intellectual property advantages. Risk evaluation of intellectual property pledge financing is the key to sustainable financing. Given that the factors affecting the risk of intellectual property pledge financing are complex and difficult to quantify, scant studies have used fuzzy analytical network process (FANP) to evaluate the risks of intellectual property pledge financing comprehensively. In order to offer a feasible and versatile tool in risk evaluation of intellectual property pledge financing, this paper summarizes the influencing factors and establishes a risk evaluation model of intellectual property pledge financing through FANP. Based on questionnaire survey and expert evaluation method, this study calculates the super decision matrix, weighted super matrix and the comprehensive weight of each through Super Decision(SD) software. The results indicate that evaluation risk\n                    <jats:italic>P<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    , realization risk\n                    <jats:italic>P<\/jats:italic>\n                    <jats:sub>2<\/jats:sub>\n                    , and moral risk\n                    <jats:italic>P<\/jats:italic>\n                    <jats:sub>3<\/jats:sub>\n                    have the greatest impact on the risk evaluation of intellectual property pledge financing, followed by intellectual property management risk. Through shedding light on the risk factors, this study provides a reference for the practice of intellectual property pledge financing management.\n                  <\/jats:p>","DOI":"10.3233\/jifs-179756","type":"journal-article","created":{"date-parts":[[2020,4,21]],"date-time":"2020-04-21T14:15:00Z","timestamp":1587478500000},"page":"6785-6793","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Risk evaluation of intellectual property pledge financing based on fuzzy analytical network process"],"prefix":"10.1177","volume":"38","author":[{"given":"Sishi","family":"Liu","sequence":"first","affiliation":[{"name":"Law and Business School, Wuhan Institute of Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ding","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Economics, Wuhan University of Technology, Wuhan, 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