Knowledge engineering

Adeli, Hojjat

doi:10.1007/bf02736196

Cited by 8 publications

(3 citation statements)

References 112 publications

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“…Indeed, KE has rapidly developed a range of techniques and tools for these purposes (e.g. Boose, 1989;Adeli, 1994;Milton et al, 2006). These developments have underpinned an emerging methodology that can bridge the gap between the remarkable capacity of the human brain to structure and store knowledge and the knowledge analyst's ability to model this process.…”

Section: Knowledge Of Individuals: Knowledge Management Perspectives mentioning

confidence: 99%

Knowledge elicitation techniques in a knowledge management context

Gavrilova

Andreeva

2012

Journal of Knowledge Management

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Purpose -A significant part of knowledge and experience in an organization belongs not to the organization itself, but to the individuals it employs. Therefore, knowledge management (KM) tasks should include eliciting knowledge from knowledgeable individuals. The paper aims to argue that the current palette of methods proposed for this in KM discourse is limited by idealistic assumptions about the behavior of knowledge owners. This paper also aims to enrich the repertoire of methods that can be used in an organization to extract knowledge (both tacit and explicit) from its employees by bridging KM and knowledge engineering and its accomplishments in the knowledge elicitation field.Design/methodology/approach -This paper is based on extensive literature review and 20 years of experience of one of the authors in applying various knowledge elicitation techniques in multiple companies and contexts.Findings -The paper proposes that the special agent (analyst) might be needed to elicit knowledge from individuals (experts) in order to allow further knowledge sharing and knowledge creation. Based on this idea, the paper proposes a new classification of the knowledge elicitation techniques that highlights the role of analyst in the knowledge elicitation process.Practical implications -The paper contributes to managerial practice by describing a systemic variety of knowledge elicitation techniques with direct recommendations of their feasibility in the KM context.Originality/value -The paper contributes to a wider use of knowledge engineering methodologies and technologies by KM researchers and practitioners in organizations.

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Section: Knowledge Of Individuals: Knowledge Management Perspectives mentioning

confidence: 99%

Knowledge elicitation techniques in a knowledge management context

Gavrilova

Andreeva

2012

Journal of Knowledge Management

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“…The backward (goaldirected) reasoning [5] is used to execute the rules in the rule base and can be described by a recognize-reduce cycle [1] where rules are viewed as laws by which a goal can be reduced to a number of subgoals. In our system, since the rules are organized as a set of rule trees, we can have the backward reasoning by traversing these rule trees, each from a rooted node OR <~ AND ~ NOT Figure 5, An AND/OR rule tree representing a collection of rules to the leaf nodes, for determining whether a frame instance satisfies the predicates of the folders in the folder organization.…”

Section: A-~b -~ Pmentioning

confidence: 99%

A predicate-driven document filing system

Zhu

Liu

McHugh

et al. 1996

Journal of Systems Integration

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Abstract. This paper presents a predicate-driven document filing system for organizing and automatically filing documents. A document model consists of two basic elements: frame templates representing document classes, and folders which are repositories of frame instances. The frame templates can be organized to form a document type hierarchy, which helps classify and file documents. Frame instances are grouped into a folder on the basis of user-defined criteria, specified as predicates which determine whether a frame instance belongs to a folder. Folders can naturally organized into a folder organization which represents the user's real world document filing system. The predicate consistency problem is discussed to eliminate two abnormalities from a folder organization: inapplicable edges (filing paths) and redundant folders. An evaluating net (including an association dictionary, an instantiation component and a production system) is then proposed for evaluating whether a frame instance satisfies the predicate of a folder during document filing. And the concept of consistency a rule base is also discussed.

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“…Adeli [2] demonstrated that by taking into account the fuzziness and imprecision in the constraints and employing fuzzy set theory, it is possible to reduce the objective function further and substantially increase the probability of finding the actual global optimum solution. The goal of the present research, carried out by several authors, was to model the effects of fuzziness in the formulation of a genetic algorithm (GA)-based structural design optimization problem [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Discrete Optimization with Fuzzy Constraints

Jelušič

Žlender

2017

Symmetry

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Abstract:The primary benefit of fuzzy systems theory is to approximate system behavior where analytic functions or numerical relations do not exist. In this paper, heuristic fuzzy rules were used with the intention of improving the performance of optimization models, introducing experiential rules acquired from experts and utilizing recommendations. The aim of this paper was to define soft constraints using an adaptive network-based fuzzy inference system (ANFIS). This newly-developed soft constraint was applied to discrete optimization for obtaining optimal solutions. Even though the computational model is based on advanced computational technologies including fuzzy logic, neural networks and discrete optimization, it can be used to solve real-world problems of great interest for design engineers. The proposed computational model was used to find the minimum weight solutions for simply-supported laterally-restrained beams.

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Knowledge engineering

Cited by 8 publications

References 112 publications

Knowledge elicitation techniques in a knowledge management context

Knowledge elicitation techniques in a knowledge management context

A predicate-driven document filing system

Discrete Optimization with Fuzzy Constraints

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