Supporting modeling and problem solving from precedent experiences: the role of workflows and case-based reasoning

Kaster, Daniel S.; Medeiros, Cláudia Bauzer; Rocha, Heloísa Vieira da

doi:10.1016/j.envsoft.2004.03.014

Cited by 37 publications

(12 citation statements)

References 25 publications

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“…Environmental applications include decision support [90,121], modelling estuarine behaviour [126], planning fire-fighting [9], managing wastewater treatment plants [138,137,132,164], monitoring air quality [86], minimising environmental impact through chemical process design [96] and weather prediction [139].…”

Section: Descriptionmentioning

confidence: 99%

Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

Chen

Jakeman

Norton

2008

Mathematics and Computers in Simulation

253

104

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Section: Descriptionmentioning

confidence: 99%

Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

Chen

Jakeman

Norton

2008

Mathematics and Computers in Simulation

253

104

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“…A case should contain the problem, its solution and the outcome; namely both the content and the context. Subsequently, the cycle consists of iteratively executing the following steps, given a problem to be solved [14] 1. Retrieve from the case base the set of cases most similar to the input problem; 2.…”

Section: Introductionmentioning

confidence: 99%

Optimal solution for supplier selection based on SMART fuzzy case base approach

Kumar¹,

Srinivasan²,

Das

2014

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Ad

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Decision making for Supplier selection is the practice for a firm to identify, evaluates and contract with suppliers. The supplier selection practice deploys a significant amount of a manufacture's financial resources. In return, manufacturer expects significant benefits from contracting with suppliers offering high value. As Today the average manufacturer spends roughly half its revenue to purchase goods and services. This makes a company's success dependent on their interactions with suppliers. To survive in the intensely competitive global economy, it is often critically important to not only develop existing suppliers but also to discover new suppliers. Many theoretical and logical models have been developed for addressing the supplier selection problem (SSP). This paper focuses on a case-based reasoning (CBR) and fuzzy logic approach which is a recently recommended method for solving the SSP by making use of previous similar situations. Finally this integrated model is illustrated by an example in an existing manufacturing to validate the proposed model.

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“…The WOrkflOw-based spatial Decision Support System (WOODSS) [3,12,13] was originally built as a workflow system and has been extended to support other scientific applications such as agro-environmental planning and bioinformatics. The main components of WOODSS are a Geographic Information System (GIS) and a Workflow Repository.…”

Section: Introductionmentioning

confidence: 99%

Conceptual-level workflow modeling of scientific experiments using NMR as a case study

2007

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Background: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phases, allowing intermediate results to be verified and supporting the proper handling of semantic mismatches and different file formats among the various tools used in the scientific process. Thus, scientific workflows are important for the modeling and subsequent capture of bioinformatics-related data. While much research has been conducted on the implementation of scientific workflows, the initial process of actually designing and generating the workflow at the conceptual level has received little consideration.

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Supporting modeling and problem solving from precedent experiences: the role of workflows and case-based reasoning

Cited by 37 publications

References 25 publications

Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

Optimal solution for supplier selection based on SMART fuzzy case base approach

Conceptual-level workflow modeling of scientific experiments using NMR as a case study

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