A fuzzy linguistic approach to implementing a strategy for computer integrated manufacturing

Wilhelm, Mickey R.; Parsaei, Hamid R.

doi:10.1016/0165-0114(91)90145-g

Cited by 30 publications

(5 citation statements)

References 15 publications

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“…In this study, a benchmarking technique will be used to compare the security assessment (FRB-ER) approach with a well-established discrete fuzzy Cartesian and compositional calculation method. (8,14,(24)(25)(26) The advantages of the use of benchmarking are not only to validate the logicality of the FRB-ER approach, but also to show its superiority over the alternative method in terms of avoiding loss of useful information in the inference process.…”

Section: Validationmentioning

confidence: 99%

“…(13) An important contribution of the fuzzy system theory is that it provides a systematic procedure for transforming a knowledge base into a nonlinear mapping. (14) A fuzzy IF-THEN rule is an IF-THEN statement in which some words are characterized by continuous membership functions. A fuzzy system is constructed from a collection of fuzzy IF-THEN rules from human experts or based on the domain knowledge and is then completed by combining these rules into a single system.…”

Section: Fuzzy Rule Base With a Belief Structurementioning

confidence: 99%

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Use of Fuzzy Evidential Reasoning in Maritime Security Assessment

et al. 2008

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Over the last few years, there has been a growing international recognition that the security performance of the maritime industry needs to be reviewed on an urgent basis. A large number of optional maritime security control measures have been proposed through various regulations and publications in the post-9/11 era. There is a strong need for a sound and generic methodology, which is capable of taking into account multiple selection criteria such as the cost effectiveness of the measures based on reasonable security assessment. The use of traditional risk assessment and decision-making approaches to deal with potential terrorism threats in a maritime security area reveals two major challenges. They are lack of capability of analyzing security in situations of high-level uncertainty and lack of capability of processing diverse data in a utility form suitable as input to a risk inference mechanism. To deal with such difficulties, this article proposes a subjective security-based assessment and management framework using fuzzy evidential reasoning (ER) approaches. Consequently, the framework can be used to assemble and process subjective risk assessment information on different aspects of a maritime transport system from multiple experts in a systematic way. Outputs of this model can also provide decisionmakers with a transparent tool to evaluate maritime security policy options for a specific scenario in a cost-effective manner.

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Section: Validationmentioning

confidence: 99%

Section: Fuzzy Rule Base With a Belief Structurementioning

confidence: 99%

Use of Fuzzy Evidential Reasoning in Maritime Security Assessment

et al. 2008

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“…'Conventional' mathematical methods require that several preconditions are met before they can be utilised, especially when there is a concern about the independence of the factors used. Fuzzy logic allows us to ignore these preconditions due to the use of linguistic variables (Wilhelm and Parsaei 1991). Therefore, conventional mathematical methods encounter difficulties when applied to human beings or human systems.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Showing asymmetries in knowledge creation and learning through proactive vision

Kantola

Vanharanta

Paajanen

et al. 2012

Theoretical Issues in Ergonomics Science

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Communicating with personnel is difficult if the concept in hand is complex, hard to perceive, has characteristics that are fuzzy in nature and that need a long-term perspective to show the results of them as a real benefit and advantage. Knowledge creation and learning concepts both belong to these kinds of management objects. Both have characteristics that are difficult to manage and lead, and that are difficult to articulate in detail to the organisation. Knowledge creation has long been one of the key concepts in modern management science and research. Learning, however, has not achieved that high a status. Many contemporary scientists like to bring in new constructs to better understand the mechanisms behind knowledge creation and learning; however, measuring these kinds of abstract concepts needs support from theory as well as methodology, so that communication to personnel can be objective and, from a management point view, effective. In this research, we have used Internet-based computer applications to measure current knowledge creation and learning levels, and to gain insight into how members of organisations are willing to show their proactive vision, as well as priorities in knowledge creation and learning concepts, inside their organisation. Practical asymmetries can be shown with test subjects, which are important to understand from a leadership and management point of view. The dataset used for this article contains academic and private organisations.

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“…Each attribute of a goal is represented by a linguistic variable (X) [3] [4]. Each attribute of a goal is represented by a linguistic variable (X) [3] [4].…”

Section: Definitionsmentioning

confidence: 99%

A Fuzzy Approach to Requirements Prioritization

Lima

Freitas

Campos

et al. 2011

Search Based Software Engineering

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One of the most important issues in a software development project is the requirements prioritization. This task is used to indicate an order for the implementation of the requirements. This problem has uncertain aspects, therefore Fuzzy Logic concepts can be used to properly represent and tackle the task. The objective of this work is to present a formal framework to aid the decision making in prioritizing requirements in a software development process, including ambiguous and vague data.

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A fuzzy linguistic approach to implementing a strategy for computer integrated manufacturing

Cited by 30 publications

References 15 publications

Use of Fuzzy Evidential Reasoning in Maritime Security Assessment

Use of Fuzzy Evidential Reasoning in Maritime Security Assessment

Showing asymmetries in knowledge creation and learning through proactive vision

A Fuzzy Approach to Requirements Prioritization

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