Integrating case-based and fuzzy reasoning to qualitatively predict risk in an environmental impact assessment review

Liu, Kevin Fong-Rey; Yu, Chih‐Wei

doi:10.1016/j.envsoft.2009.04.005

Cited by 43 publications

(19 citation statements)

References 36 publications

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“…This technique combines measures of attribute importance and performance into a two-dimensional grid as shown in Liu and Yu (2009). The grid is divided into four quadrants, where the y-axis depicts the importance and x-axis depicts the performance.…”

Section: Risk Management By Using Importance-performance Analysismentioning

confidence: 99%

Environmental impact assessment based on group decision-making methods in mining projects

Rikhtegar

Mansouri

Oroumieh

et al. 2014

Economic Research-Ekonomska Istraživanja

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Mining operations usually comprise a spread spectrum of environmental challenges, which are often unique to each mine site. This is due to the fact that mining activities, directly or indirectly, have an adverse impact on environment and ecology. For this reason, the environmental impact assessment (EIA) process has been developed for evaluation of the possible impact of mine development and operations on the environment, including the natural, social and economic aspects. In this article, an EIA methodology based on analytic network process and fuzzy simple additive weight (SAW) is proposed to formulate the environmental risks pertaining to mining projects. In the system of the proposed model, the importance weights are calculated by an ANP process. Then, fuzzy SAW is employed to evaluate the preference ratings of the alternatives. The merit of using fuzzy logic is to handle the inherent uncertainty in modelling an EIA problem by simplifying the sophisticated structure of the problem under consideration. The proposed model is utilised to assess the environmental impact generated by zinc and lead mining projects located in Zanjan, Iran to shape the future industrial and mining structure of the region. Finally, the environmental impacts are ranked from the most to the least risky.

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Section: Risk Management By Using Importance-performance Analysismentioning

confidence: 99%

Environmental impact assessment based on group decision-making methods in mining projects

Rikhtegar

Mansouri

Oroumieh

et al. 2014

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

show abstract

“…For example in [12] the problem of environmental risk assessment is approached by a threefold solution: the use of case-based reasoning (CBR) for retrieval of similar cases, fuzzy reasoning (FR) for qualitative risk forecast, and importance-performance analysis (IPA) for risk management. The empirical evaluation on a real world case study highlights how a proper case base is crucial for this purpose.…”

Section: Related Workmentioning

confidence: 99%

Case–Based Ranking for Environmental Risk Assessment

Avesani

Susi

2010

Studies in Computational Intelligence

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Abstract. The assessment of environmental risk may be conceived as a process of ranking among alternative scenarios. First principle approach tends to define in advance the general criteria of risk assessment which not necessarily discriminate a meaningful priority relation afterwards. Moreover ex-ante methods relies on the tacit assumption of data homogeneity for describing risk scenarios. In this work we propose a method for risk assessment where the process of ranking is driven by cases. Steps of pairwise case analysis for rank elicitation are interleaved with steps of computational learning to estimate the ranks for unseen cases. The case-based approach is twofold: on one hand supporting the users to elicit their knowledge by examples, on the other hand enabling an approximation of target rank looking at case descriptions. A case study of environmental risk assessment in a northern region of Italy illustrates how the case-based ranking method works in practice. A second case study in a eastern region of Italy shows how the reference method can be extended to support a collaborative and distributed assessment of environmental risk.

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“…In order to improve the efficiency of programming and design, the frame of fuzzy reasoning system has been structured [7]. The module calling format is used in the handle processing of the curve.…”

Section: Operation Of the Fuzzy Inferencementioning

confidence: 99%

“…Uj =(AxB)oP (8) Here, the gravity method is used to defuzzify the exact output and convert to a circular arc or a straight line to express curve [6][7].…”

Section: If R=ps and N=ps Then U=arb If R=pb And N=pb Then U= Arementioning

confidence: 99%

Study of the curve fitting algorithm for NC machining graphics

Ji-shui

Zhang

Wang

2013

2013 8th International Conference on Computer Science &Amp; Education

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In the process of NC machining, the precise computation of machining graphical path is the key to guarantee machining precision. In curve fitting, it is difficult to fit curve just only using straight line. The combining both arc and line may get good fitting effect in fitting curve. But it leads to complicated calculation in fitting. Aiming at this problem, multi-dimensional fuzzy reasoning algorithm is proposed in this paper to optimize the calculation process and improve the fitting curve speed and accuracy.The designed multidimensional fuzzy inference algorithm makes the computation of the curve fitting simplicity and preciseness when the model structure is used in programming. Test results show that the designed way can well approximate the original graphics and well optimize the number of segment in the fitting process.

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Integrating case-based and fuzzy reasoning to qualitatively predict risk in an environmental impact assessment review

Cited by 43 publications

References 36 publications

Environmental impact assessment based on group decision-making methods in mining projects

Environmental impact assessment based on group decision-making methods in mining projects

Case–Based Ranking for Environmental Risk Assessment

Study of the curve fitting algorithm for NC machining graphics

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