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In order to manage properly the uncertainty effect, the authors have developed a decision making procedure based on a methodical approach to measurement uncertainty. In detail, a fuzzy logic algorithm estimates the probability to take a wrong decision because of the uncertainty. Such information is so used in order to optimize the decisional criteria, improving the consistency of the final computing results. Risks and costs associated to the possibility to take a mistaken decision are minimized. Consequently the algorithm singles out the most reliable decision.<\/p>","DOI":"10.4018\/ijmtie.2011070104","type":"journal-article","created":{"date-parts":[[2012,1,13]],"date-time":"2012-01-13T11:24:45Z","timestamp":1326453885000},"page":"40-52","source":"Crossref","is-referenced-by-count":1,"title":["Measurement Uncertainty in Decision-Making"],"prefix":"10.4018","volume":"1","author":[{"given":"Claudio","family":"De Capua","sequence":"first","affiliation":[{"name":"Universit\u00e0 \u2019Mediterranea\u2019 di Reggio Calabria, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosario","family":"Morello","sequence":"additional","affiliation":[{"name":"Universit\u00e0 \u2019Mediterranea\u2019 di Reggio Calabria, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosario","family":"Carbone","sequence":"additional","affiliation":[{"name":"Universit\u00e0 \u2019Mediterranea\u2019 di Reggio Calabria, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijmtie.2011070104-0","doi-asserted-by":"crossref","unstructured":"Carbone, P., Macii, D., & Petri, D. 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