Simulation techniques for the sensitivity analysis of multi-criteria decision models

Butler, John C.; Jia, Jianmin; Dyer, James S.

doi:10.1016/s0377-2217(96)00307-4

Cited by 275 publications

(206 citation statements)

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“…The Dirichlet distribution has been used to model imprecise probabilities [63,64] and in combining expert opinion [65] as well as modelling weights [66]. It is a multinomial form of the Beta distribution and so has Beta marginal distributions which, having limits [0,1], are appropriate models for single weight estimates as they have been for imprecise probabilities.…”

Section: Overviewmentioning

confidence: 99%

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

Jessop¹

2014

Omega

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. (2014) 'IMP : a decision aid for multiattribute evaluation using imprecise weight estimates. ', Omega., Further information on publisher's website:http://dx.doi.org/10.1016/j.omega.2014.05.001Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Omega. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be re ected in this document. Changes may have been made to this work since it was submitted for publication. A de nitive version was subsequently published in Omega, 49, 2014, 10.1016/j.omega.2014.05.001. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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Section: Overviewmentioning

confidence: 99%

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

Jessop¹

2014

Omega

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“…2). It was expanded by deep analysis of gated results, and constructed to draw the individual recommendation for tested participant (Izquierdo, Deschoolmeester 2008;Butler et al 1997;Jakeman, Letcher 2003). Figure 2 shows DSS access flow.…”

Section: The Individual Recommendation Access Flow Algorithmmentioning

confidence: 99%

Counselling for Self-Employment: The Application of Decision Support System

Smaliukienė

Bekešienė

Dudzevičiūtė

2012

Business: Theory and Practice

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Abstract. The article considers the provision of decision support opportunities for unemployed people who are seeking for selfemployment and opening a new business. The purpose of this paper is to consider the application of decision support system (DSS) for e-counselling of the unemployed, specially focusing on self-employment solutions. The development of DSS is tackling main social challenges of the long-term unemployed: it conveys an experience from previous employment; provides new business opportunities, which are highly related to person's hobbies; and it connects people by developing complementary groups of same interests and same positive attitudes towards entrepreneurship. From a technical perspective we suggest that it is advisable to place a workflow engine at the core of the Internet based e-decision making system. This will let us generate and manage personalized and adaptable individual recommendation access. The access flow algorithm of DSS consists of three interconnected blocs: the first bloc is constructed for the self-containment as process logic and analysis of consumer objectives; the second one analyses person's ability for entrepreneurship, it also evaluates individual's overall motivation to start his own business; and the third bloc provides with potential complementary business partners or business start-up.Keywords: self-employment, unemployment, decision support system, recession.JEL Classification: C63,C69, E0, E24, J4. Straipsnyje nagrinėjamos sprendimų paramos sistemos (SPS) taikymo galimybės asmenims, ieškantiems darbo ir norintiems pradėti savo verslą. Šio straipsnio tikslas -išnagrinėti elektroninės SPS vaidmenį įsidarbinimo problemoms spręsti. SPS įdiegimas leistų kaupti informaciją apie profesinę žmogaus patirtį, suteiktų informacijos apie naujas veiklas, susijusias su asmens pomėgiais, sudarytų galimybes formuoti asmenų grupes pagal tam tikrus požymius, tokius kaip interesai, požiūris į verslininkystę. Techniniu aspektu sprendimų paramos sistemos algoritmą sudaro trys sujungti blokai: pirmasis skirtas savo tikslų analizei, antrasis įvertina asmens verslumą, motyvaciją įsidarbinti ar pradėti savo verslą, trečiasis suteikia papildomos informacijos apie potencialius verslo partnerius ir apie verslo pradžią. ĮSIDARBINIMO PROBLEMOS SPRENDIMAS: SPRENDIMŲ PARAMOS SISTEMOS TAIKYMASReikšminiai žodžiai: įsidarbinimas, nedarbas, sprendimų paramos sistema, recesija.

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“…Barron and Barrett (1996) used both uniform and normal distributions to compare the hit rate and value loss of four rules, concluding that using the normal distribution did not significantly influence the results. The scaling weights were also generated according to a uniform distribution in W k (acceptable set of weights for negotiator k) using the process described in Butler et al (1997). Note that, as sustained in Barron and Barrett (1996), if the information set on the weights is specified entirely by a complete ranking of the alternatives, then no point in W k may be considered more likely than another, and the density of the weights is uniform over W k .…”

Section: Simulationsmentioning

confidence: 99%

Comparison of decision rules to mediate negotiations with incomplete information

Sarabando

Dias

2012

IJSSS

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Decisions in society resulting from negotiation among two parties are often inefficient (in terms of Pareto efficiency) as the parties fail to identify an agreement that would make both better off. A third party mediating the negotiation can increase the chances of reaching a Pareto efficient alternative. However, in most practical situations the mediator does not have a precise model of the parties' preferences, and therefore cannot identify which alternatives are efficient. This paper assesses the performance of decision rules that a mediator can apply in multi-issue bilateral Negotiation Analysis given ordinal information about the importance of the issues and the value of the potential alternatives in each issue. We assume the preferences of the parties can be modelled by an additive multiattribute value function, but without assuming the precise parameters of this model are known. We study three mediation criteria: maximizing the sum of the values, maximizing the product of the excesses, or maximizing the minimal proportion of potential. Monte-Carlo simulation is used to assess how good the alternative chosen by each decision rule is, and to provide guidelines about the use of these rules in a context of selecting a subset of promising alternatives.

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Simulation techniques for the sensitivity analysis of multi-criteria decision models

Cited by 275 publications

References 10 publications

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

Counselling for Self-Employment: The Application of Decision Support System

Comparison of decision rules to mediate negotiations with incomplete information

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