Multi‐criteria decision aid in financial decision making: methodologies and literature review

Zopounidis, Constantin; Doumpos, Michael

doi:10.1002/mcda.333

Cited by 249 publications

(119 citation statements)

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“…strategic, analytical and financial) in the analysis and to find a suitable methodology which takes into account a range of different criteria that are to be considered when selecting which projects should be developed (Henig & Katz, 1996). One possible solution would be the adoption of multi-criteria methods which take into account a range of quantitative and qualitative factors when assessing projects (Zopounidis & Doumpos, 2002). In fact, Vandaele & Decouttere (2013) concluded for the real need of a R&D assessment decision support tool integrating several dimensions of analysis and to accomplish that need it is necessary to resource to multi-criteria tools to assess the impact of R&D projects on the company including several performance factors (Chang & Tzeng, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Research and development project assessment and social impact

Fernández

Cunha

Ferreira

et al. 2015

Prod.

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Nowadays, organisations increasingly need to adapt to the fast evolution of markets and societies in our globalised world in order to be competitive. Therefore, it is essential to take the right decisions when it comes to invest in research and development (R&D) projects. However, an issue that has not been given much attention is how to measure the social impact (or return) of R&D projects. In this exploratory study, the findings of an analysis of how R&D projects are assessed and selected, including this social perspective, are presented. The methodology which has been used in this research includes both interviews and analysis of the data obtained through them. The major finding is that in the current situation the social impact is not taken into account, but is growing the awareness of this perspective among different types of organizations dealing with R&D activities.

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Section: Literature Reviewmentioning

confidence: 99%

Research and development project assessment and social impact

Fernández

Cunha

Ferreira

et al. 2015

Prod.

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“…Taigi matematinio modeliavimo vaidmuo finansuose tampa labai svarbus. Šiandien siūlomi metodai iš optimizavimo, stochastinių procesų, simuliacijos, prognozavimo, sprendimų paramos sistemų, daugiakriterinės sprendimų paramos, neapibrėžtosios logikos ir t. t. sričių laikomi vertingomis finansinių sprendimų priėmimo priemonėmis (Zouponidis, Doumpos 2002).…”

Section: įVadasunclassified

Investicijų portfelio sudarymas naudojant sprendimų paramos sistemą

Stasytytė

2012

Business: Theory and Practice

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Santrauka. Šiuolaikinėje finansų rinkoje ir finansų mokslo srityje kyla žiniomis pagrįstų ir programiškai aprūpintų sistemų, padedančių investuotojams ir finansų analitikams laiku priimti tinkamus sprendimus, poreikis. Straipsnyje siūloma galima priemonė optimalaus portfelio sudarymo problemai kapitalo rinkoje spręsti -investicijų portfelio sprendimų paramos sistema. Straipsnyje taip pat detaliai aprašoma sistemos struktūra ir pagrindiniai veikimo principai. Sistema paremta adekvačiojo portfelio modeliu, siūlančiu portfelio reikšmes matuoti pagal tris parametrus -pelningumą, patikimumą ir riziką. Taip sprendimų priėmimo posistemyje formuojami du erdviniai paviršiai -galimybių (efektyvusis) paviršius ir naudingumo funkcijų paviršius, kurių susilietimo taške gaunamas optimalus sprendinys -investicijų portfelio struktūra. Pateikiamos galimos sistemos plėtojimo kryptys ir pritaikymo galimybės.Reikšminiai žodžiai: investicijų portfelis, adekvačiojo portfelio modelis, sprendimų paramos sistema, sistemos inžinierius, prognozavimas, monitoringas. INVESTMENT PORTFOLIO FORMATION USING DECISION SUPPORT SYSTEM Viktorija StasytytėVilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania E-mail: viktorija.stasytyte@vgtu .lt Received 01 March 2012; accepted 20 June 2012Abstract. In contemporary financial market and scientific field of finance the demand for knowledge-based and software-supplied systems allowing investors and financial analysts to make proper and timely decisions is rising. The possible instrument for solving the problem of optimal portfolio formation in the capital market is proposed in the paper -the investment portfolio decision support system. The paper also thoroughly describes the structure of the system, as well as its main operation principles. The system is based on the adequate portfolio model, which proposes to express portfolio values in three parameters -profitability, reliability and risk. Thus in decision-making subsystem two surfaces are formed -possibilities (efficient) surface and utility functions' surface, and in their tangency point the optimal decision is found -the structure of investment portfolio. The possible trends of system's development and possibilities of its application are presented.

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“…Since the late seventies, several procedures have been proposed for sorting problems (according to the Assumption 1) as the following ones: trichotomic segmentation (Moscarola and Roy 1977), Utadis (Devaud et al 1980;Zopounidis and Doumpos 2002), N-Tomic (Massaglia and Ostanello 1991), Electre Tri (Yu 1992;Roy and Bouyssou 1993), filtering by preference (denoted here FPP) (Perny 1998), multi-profile sorting by intersection sets (Norese and Viale 2002), PairClas (Doumpos and Zopounidis 2004), and Smaa-Tri (Tervonen et al 2009). Let us notice that the key concepts which are mainly related, for instance, to the FPP procedure (Perny 1998), the Proaftn method (Belacel 2000), and the sorting by preference closeness method (denoted here CloSort) (Fernandez et al 2008) were firstly proposed by S lowiński and Stefanowski (1994) in order to build a set of decision rules based on both multiple criteria and multiple attributes according to the rough set theory framework.…”

Section: Introductionmentioning

confidence: 99%