Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process

Renaud, Jean; Thibault, Jules; Lanouette, Robert; Kiss, László; Zaras, Kazimierz; Fonteix, Christian

doi:10.1016/j.ejor.2005.04.013

Cited by 27 publications

(10 citation statements)

References 44 publications

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“…Thus, Mikkila et al (2005) used AHP in order to evaluate an indicator of the corporate social performance in pulp and paper industries of four different countries. Renaud et al (2007) employed two discrete multi-criteria methods with the purpose of evaluating the paper manufacturing process in Canada using only pulp from jack pine.…”

Section: Forestry Industrymentioning

confidence: 99%

Making forestry decisions with multiple criteria: A review and an assessment

Dı́az-Balteiro¹,

Romero²

2008

Forest Ecology and Management

295

177

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Section: Forestry Industrymentioning

confidence: 99%

Making forestry decisions with multiple criteria: A review and an assessment

Dı́az-Balteiro¹,

Romero²

2008

Forest Ecology and Management

295

177

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“…Proposed initially by Pawlak (1982Pawlak ( , 1991 and then by Pawlak and Slowinski (1994), the rough set theory is a mathematical tool devised to support decision--making processes. Since its introduction, it has been used in many fields such as medicine, banking, engineering, learning, location selection, pharmacology, finance, market analysis and economics (Pawlak, 2002;Greco et al, 1999Greco et al, , 2001Zaras, 2004;Zaras et al, 2012;Ho et al, 2016;Renaud et al, 2007;Marin et al, 2014;Prema and Umamaheswari, 2016;Songbian, 2016;Emam et al, 2017). It was later extended by Greco, Matarazo andSlowinski (2001, 1999) and renamed "dominance-based rough set approach".…”

Section: Review Of the Literaturementioning

confidence: 99%

Identifying strategic development objectives for European Union states using the Dominance-based Rough Set Approach: the case of Poland

Zaras

Marin

Trudel

2019

MCDM

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The use of the dominance-based rough set approach (DRSA) to help identify and prioritize strategic political, economic, sociological and technological (PEST) objectives for European Union (EU) countries is presented. The countries are first grouped into three categories: [A] those that are doing well according to the selected indicators; [B] those that need support to acquire category A status; [C] those ranked the lowest and needing special support with regard to the criteria considered. The categories correspond to tertiles within the average ranking of all EU countries. DRSA then provides decision rules based on PEST needs in order to improve the development and classification of the country. We conclude that by using this methodology, the EU could identify the strategic objectives to be given priority in order to stimulate its economic development or to improve the economic and sociological status of any country in the union. The case of Poland, a category C country from an economic perspective, is of particular interest.

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“…Then, to consider the know-how of experts, it is necessary to develop systematic procedures to unequivocally capture the preferences based on their knowledge about the performance of the product and the process. [15,16] The key factor of this targeting process is the introduction of market preferences where experimental data and know-how of experts have to be considered simultaneously. That implies a multidimensional approach that could be supported by the current advances on multi-criteria decision aid (MCDA) methods.…”

Section: Introductionmentioning

confidence: 99%

Chemical product design integrating MCDA: Performance prediction and human preferences modelling

et al. 2021

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Computation-based techniques and modelling of human knowledge and preferences by using multi-criteria decision aid (MCDA) methods are integrated in a multi-scale and multi-disciplinary approach for the chemical product and process design. The proposed methodology has four main stages: (a) construction of a molecular model for predicting product performance, (b) validation of product performance, (c) selection of alternatives integrating preferences of manufacturers and consumers, and (d) process optimization implementing MCDA methods. The methodology is oriented to find new products that can replace components of formulations, whose performance is already known. It was applied to an exploratory study about the use of glycerol as raw material to produce plasticizers for polyvinyl chloride (PVC), replacing 2-ethylhexyl phthalate (DEHP). The results of the case study and the proposed process design offer promising prospects regarding their application in other chemical products.

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Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process

Cited by 27 publications

References 44 publications

Making forestry decisions with multiple criteria: A review and an assessment

Making forestry decisions with multiple criteria: A review and an assessment

Identifying strategic development objectives for European Union states using the Dominance-based Rough Set Approach: the case of Poland

Chemical product design integrating MCDA: Performance prediction and human preferences modelling

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