|
|
Publicações
Yazdi, M. (2019), “Acquiring and Sharing Tacit Knowledge in Failure Diagnosis Analysis Using Intuitionistic and Pythagorean Assessments”, Journal of Failure Analysis and Prevention, Vol. 19, pp. 369–386
Nowadays knowledge management hasreceived a considerable attention from both academics andindustrial sectors, and expert knowledge is recognized asthe most important resource of enterprises, particularly inthe knowledge-intensive organizations. Dealing withknowledge creation, transfer, and utilization is increasinglycritical for the long-term sustainable competitive advantageand success of any organization. Thus, a lot of efforts havebeen required from companies and researchers in devel-oping and supporting knowledge management in differentorganizations. In industrial sectors as the highly competi-tive environment, capturing and disseminating of tacitknowledge are significant to an organization’s success withthe development of knowledge-based systems. Safety andreliability analysis is an important issue to prevent an eventwhich may be the occurrence of catastrophic accident inprocess industries. In this context, conventional safety andreliability assessment techniques like fault tree analysishave been widely used in this regard; however, in practicalknowledge acquisition process, domain experts tend toexpress their judgments using multi-granularity linguisticterm sets, and there usually exists uncertain and incompleteinformation since expert knowledge is experience-basedand tacit. In addition, although the technical capabilities ofexpert systems based on fuzzy set theory are expanding,they still fall short of meeting the increasingly complexknowledge demands and still suffer in subjective uncer-tainty processing and dynamic structure representationwhich are important in risk assessment procedure. In thispaper, a new framework based on 2-tuple intuitionisticfuzzy numbers, Pythagorean fuzzy sets, and Bayesiannetwork mechanism is proposed to evaluate system relia-bility, to deal with mentioned drawbacks, and to recognizethe most critical system components which affect the sys-tem reliability.
Se nao conseguiu obter uma copia desta publicação: Peça uma cópia desta publicação
Para informação sobre todas as publicações do CENTEC pode descarregar: Lista Completa de Publicações do CENTEC
|