2018
DOI: 10.1142/s0218488518500034
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Acquiring and Sharing Tacit Knowledge Based on Interval 2-Tuple Linguistic Assessments and Extended Fuzzy Petri Nets

Abstract: In the highly competitive environment, capturing and disseminating of tacit knowledge are significant to an organization’s success with the development of knowledge-based systems. However, in practical knowledge acquisition process, domain experts tend to express their judgments using multigranularity linguistic term sets, and there usually exists uncertain and incomplete information since expert knowledge is experience-based and tacit. In addition, although the technical capabilities of expert systems based o… Show more

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Cited by 48 publications
(21 citation statements)
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“…where: It should be noted that the fragment (16) can be presented as a sequential combination of fragments (10) and (11). Fragment (17) can be represented as a sequential combination of fragments (12) and (13).…”
Section: Methodsmentioning
confidence: 99%
“…where: It should be noted that the fragment (16) can be presented as a sequential combination of fragments (10) and (11). Fragment (17) can be represented as a sequential combination of fragments (12) and (13).…”
Section: Methodsmentioning
confidence: 99%
“…One of the well‐known uncertain linguistic computational methods is the interval two‐tuple linguistic representation model . This model is able to better depict the judgment information of decision makers and has been employed by researchers in a lot of decision‐making problems, including tacit knowledge acquisition, emergency response capacity evaluation, supplier selection, and health care waste management . Besides, the interval two‐tuple linguistic variables have been successfully applied to FMEA to manage the hesitant linguistic assessments of failure modes .…”
Section: Introductionmentioning
confidence: 99%
“…However, this attitude using explicit knowledge makes it important for practice and academia to determine the overlooked opportunities which may result from missed tactic and subjective knowledge. Besides, there is no room for possibility of knowledge acquisition be completed in a group of decision makers on a single basis . Tacit knowledge is recognized individually and depends on personal perceptions, experience, and insights.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, there is no room for possibility of knowledge acquisition be completed in a group of decision makers on a single basis. [17][18][19][20][21][22][23] Tacit knowledge is recognized individually and depends on personal perceptions, experience, and insights. That is while, in an expert system, decision makers tend to use the qualitative terms for representing their judgments.…”
mentioning
confidence: 99%