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Multicriteria analysis

Brans JP, Mareschal B, Vincke P (1984) PROMETHEE A new family of outranking methods in multicriteria analysis. Operational Research 84, pp 477-490... [Pg.213]

Dodgson J, Spackman M, Pearman A, Phillips L (2000) DTLR multicriteria analysis manual. Department for Transport, Local Government and the Regions, London... [Pg.217]

It is possible to terminate an MCDA early we can use it simply to place options before us in an unbiased way, leaving the final decision to policy makers (thus it operates as a multicriteria analysis, MCA). [Pg.22]

Nakayama, H. (1995). Aspiration level approach to interactive multi-objective programming and its applications, in P. Pardalos, Y. Siskos and C. Zo-pounidis (eds.), Advances in Multicriteria Analysis (Kluwer Academic Publishers), pp. 147-174. [Pg.185]

Derot, B., Gareau, J., Kiss, L.N., and Martel, J.M. (1997). The solver of Volvox multicriteria table. Multicriteria Analysis, Chmaco J., (ed) Springer-Verlag, 113-126. [Pg.233]

Reidel Publishing Company, Dordrecht, pp 3-41 Lerche D, Briiggemann R, Sorensen PB, Carlsen L, Nielsen OJ (2002) A Comparison of Partial Order Technique with three Methods of Multicriteria Analysis for Ranking of Chemical Substances. J Chem Inf Comp Sc 42 1086-1098 Lerche D, Sorensen PB (2003) Evaluation of the ranking probabilities for partial orders based on random linear extensions. Chemosphere 53 981-992... [Pg.108]

Lerche DB, Briiggemann R, Sorensen PB, Carlsen L, Nielsen OJ (2002) Comparison of Hasse Diagram Technique with three multicriteria analysis for ranking chemical substances. J Chem Inf Comput Sci 42 1086-1098... [Pg.160]

Yu, P. L., and Seiford, L. (1981), Multistage Decision Problems with Multicriteria, in Multicriteria Analysis Practical Methods, P. NijKamp and 1. Spronk, Eds, Gower Press, London. [Pg.2623]

Quantitative multicriteria analysis defines and applies weighting factors to the environmental profile to permit aggregation of the quantitative part of the inventory table into an unambiguous single score. This score is then used to rate different product alternatives. The advantages with this method are that the decision process is easily reproducible and that product comparison is simplified. The risk is that the method of aggregation may imply a scientific accuracy that not necessarily exists. Qualitative aspects of the impacts can not be included in the obtained score. These must be evaluated separately. [Pg.95]

Qualitative multicriteria analysis is more informal than quantitative analysis. The assessment and rating of different product alternatives is made by an expert panel. The principal advantage of this method is that it is likely to result in a judgement. In addition it allows the inclusion of quantitative aspects in the decision process. However, it is not well suited to comparisons of more than a few products, since the amount of information becomes overwhelming. [Pg.95]

Multicriteria analysis must be followed by an analysis of the reliability and validity of the result. The consequences of data uncertainty and of the assumptions and choices made during the study should be evaluated. [Pg.95]

Roca, E., Gamboa, G. and Tabara, J.D. (2008) Assessing the multidimensionality of coastal erosion risks Public participation and multicriteria analysis in a Mediterranean coastal system . Risk Analysis, 28 (2) 399-412. [Pg.33]

This paper is constructed as follows section 2 describes state of the art relevant to multi-criteria methods. Object oriented design of software for multicriteria analysis is given in section 3. Results of practical calculations are contained by section 4. [Pg.150]

Mathematical models and procedures of the multicriteria analysis are currently developed to a... [Pg.150]

Sebesta, R. 2008. Fuel cells for storage systems of electric energy compared by multicriteria analysis meth-oAs.WOFEX2008 Proc. of the 6th annual workshop, pg. 154-159. Ostrava VSB... [Pg.1587]

Fuzzy multicriteria analysis is used for decision making in a network of procedures that describes a complete electrochemical finishing plant. The decision alternatives result by means of fault tree analysis and neuro-fuzzy reasoning the criteria are categorized as objective and subjective. The training of the technical staff is achieved in a cooperative environment by playing with what if scenarios based on real and simulated data. [Pg.365]

Application of CIS or EIS if the process is chemical or electrochemical, respectively, to determine the best conditions for production/treatment by means of fuzzy multicriteria analysis. [Pg.367]

If such a database is available, a differential cost-benefit analysis or other appropriate methods [1-2 to 1-5] needs to be used. In some cases it may not be possible to quantify all the factors involved or to express them in comparable units. It may also be difficult to balance individual and collective doses, and to take into account the implications for occupational doses of further reductions in public dose as well as the broader social factors that such a reduction might entail. For these situations, the use of more sophisticated quaUtative decision aiding techniques such as multicriteria analysis may be useful. In these analyses, the options are evaluated against several attributes. One such methodology is described in Ref. [1-6]. [Pg.65]


See other pages where Multicriteria analysis is mentioned: [Pg.275]    [Pg.826]    [Pg.61]    [Pg.255]    [Pg.396]    [Pg.57]    [Pg.94]    [Pg.94]    [Pg.366]    [Pg.370]   
See also in sourсe #XX -- [ Pg.22 ]

See also in sourсe #XX -- [ Pg.61 ]




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Multicriteria decision analysis

Multicriteria decision analysis (MCDA

Qualitative multicriteria analysis

Quantitative multicriteria analysis

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