Periodic scheduling of a transporting robot under incomplete input data: A fuzzy approach

Levner, Eugene; Meyzin, Leonid; Ptuskin, Alexander

doi:10.1016/s0165-0114(96)00387-9

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…Decision trees [10] Fuzzy and interval-valued analysis and expert system assessment [7,8,11,14] The following main parameters of AMS are worth considering:…”

Section: Integrated Management Of Ams and Risksmentioning

confidence: 99%

“…The tree consists of nodes and arcs. The end node reached determines the final objective of classification or prediction made by the model, which can be a qualitative judgment (e.g., linguistic variables [7,8,11,14]) or a numerical forecast (e.g., cost, risk, benefit, etc.). A square node of the tree represents a point at which a decision must be made, and a circular node represent situations where the outcome is uncertain.…”

Section: Decision Treementioning

confidence: 99%

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Multiobjective Risk/Cost Analysis of Artificial Marine Systems Using Decision Trees and Fuzzy Expert Estimations

Levner

Ganoulis

Linkov

et al.

NATO Security Through Science Series

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This study is devoted to the analysis of Artificial Marine Systems (AMS) and their optimisation with emphasis on their role of mitigating anthropogenic and technological threats to the environment. Historically, AMS were created and used to enhance fishing catches, protect coastal zones and maintain biodiversity. In recent years, great strides have been made in the understanding of AMS as multifunctional tools to study, monitor and even influence the global warming processes. In fact AMS can serve as global bio-filters and controllable sinks of atmospheric carbon dioxide, in the long run mitigating global warming and enhancing sustainable preservation of marine resources. A fuzzy expert system based on the Mamdani-Sugeno modus operandi has been designed, enabling a risk/cost/benefit analysis to be performed, environmental risk to be minimised, and the optimal structure of an AMS (location, cost, size, geometrical forms, etc.) to be found. Special attention is given to the protection of the coral reef in the Eilat-Aqaba Gulf in the Red Sea.

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“…Decision trees [10] Fuzzy and interval-valued analysis and expert system assessment [7,8,11,14] The following main parameters of AMS are worth considering:…”

Section: Integrated Management Of Ams and Risksmentioning

confidence: 99%

Section: Decision Treementioning

confidence: 99%