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International Journal of Multicriteria Decision Making
Journal Prestige (SJR): 0.181  Number of Followers: 8  Hybrid journal * Containing 1  Open Access article(s) in this issue *ISSN (Print) 2040-106X - ISSN (Online) 2040-1078 Published by Inderscience Publishers  [451 journals]
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- A nonlinear multivariate method for constructing profiles of country
performance-
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Authors: Sara Casacci, Adriano Pareto
Pages: 295 - 312
Abstract: Composite indices for measuring multi-dimensional phenomena such as sustainable development, quality of life, and competitiveness, are based on individual indicators that have no common unit of measurement. As a rule, individual indicators are normalised by univariate methods, independently of each other. However, normalisation has a strong impact on results since it creates a 'correspondence system' among different variables. Thus the normalisation method should take into account the relationships existing in the data. In this paper, a nonlinear multivariate method is proposed for normalising a set of individual indicators in order to aggregate them into a composite index and construct profiles of country performance. An application to the measurement and analysis of socio-economic development is also shown.
Keywords: composite index; indicators; normalisation; nonlinear relationship
Citation: International Journal of Multicriteria Decision Making, Vol. 8, No. 4 (2021) pp. 295 - 312
PubDate: 2022-02-07T23:20:50-05:00
DOI: 10.1504/IJMCDM.2021.120746
Issue No: Vol. 8, No. 4 (2022)
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- Development and evaluation of a new tool for multiple criteria decision
making-
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Authors: Majid Jangi, Seyyed Hadi Ghasemi, Mahin Ghorban Sabbagh, Hamed Tabesh, Sayyed Mostafa Mostafavi, Mahmoud Tara
Pages: 313 - 330
Abstract: Multi-criteria decision making (MCDM) is intricate in the medical domain. The purpose of this study was to develop a new software tool called 'Expository Posthaste Effective Resemblant Tool (ExPERT) ' for MCDM in 2018-2019 in multi-stages. First, scenario and MCDM steps were determined. Then MCDM steps were implemented in HTML/CSS/JavaSript and the query was sent to the server using a PHP script. After that, the tool was evaluated in real clinical settings. The developed tool included dynamic interconnected weight assignment of factors, visualisation of implicit knowledge, incorporating written descriptions, and instant feedback to change implicit knowledge into explicit knowledge. As such, the tool enables the user to produce visual presentations, simultaneously display multi-criteria decisions, and provide written feedback on user-assigned weightings. Using a visual presentation, this tool can potentially reduce the time required to assign weightings to different criteria, easy to use, and eliminating the need for specific training of participants.
Keywords: multi-criteria decision making; MCDM; implicit knowledge; feedback; factor weighting; visualisation
Citation: International Journal of Multicriteria Decision Making, Vol. 8, No. 4 (2021) pp. 313 - 330
PubDate: 2022-02-07T23:20:50-05:00
DOI: 10.1504/IJMCDM.2021.120747
Issue No: Vol. 8, No. 4 (2022)
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- Inferring criteria weight parameters in CODAS method
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Authors: Mouna Regaieg, Hela Moalla Frikha
Pages: 331 - 348
Abstract: Combinative distance-based assessment (CODAS) method is a new method for multi-criteria decision making (MCDM) and evaluation. The decision-maker (DM) assigns criteria relative importance coefficients (weight criteria) subjectively. According to the process of MCDM, the problem consists in finding the parameter values that minimise the inconsistency between the model obtained with those parameters and the final decision. To overcome this issue, this study aims to develop a mathematical programming model eliciting objective weight parameters of the CODAS method without the DM's preferences and then allows ranking the different alternatives. An illustrative example is performed to check the performance of this tool. Finally, sensitivity analyses are carried to check the sensitivity of the results and an empirical comparison with other weighting methods are presented.
Keywords: multi-criteria decision making; CODAS method; weight elicitation; Lagrange function; criteria weight values
Citation: International Journal of Multicriteria Decision Making, Vol. 8, No. 4 (2021) pp. 331 - 348
PubDate: 2022-02-07T23:20:50-05:00
DOI: 10.1504/IJMCDM.2021.120759
Issue No: Vol. 8, No. 4 (2022)
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- Ranking of the environmental sustainability of Cuban provinces using a
non-compensatory multi-criteria model-
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Authors: Daiana Ivis Suárez Ordaz, Ignacio Contreras Rubio, VÃctor Ernesto Pérez León
Pages: 349 - 367
Abstract: Environmental sustainability has evolved to become a multidimensional concept, applied to diverse fields of study, to ensure the balance between society and the environment. Among the initiatives for its application, composite indicators have been proposed as one of the options for the management and protection of natural resources. Cuba, with the updating of its economic and social model, has progressively advanced in these aspects, but there is still a lack of knowledge necessary to promote greater involvement in the processing of environmental statistical information and work with composite indicators. In the present work, a proposal for a synthetic indicator for the evaluation of sustainability at the provincial level was made to facilitate the interpretation of the information by the stakeholders and policy-makers. The construction of the synthetic indicator was carried out using a non-compensatory procedure computed by a mixed-integer linear programming model.
Keywords: environmental sustainability; composite indicator; MCDM techniques; non-compensatory procedure; Cuba
Citation: International Journal of Multicriteria Decision Making, Vol. 8, No. 4 (2021) pp. 349 - 367
PubDate: 2022-02-07T23:20:50-05:00
DOI: 10.1504/IJMCDM.2021.120758
Issue No: Vol. 8, No. 4 (2022)
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- Monitoring multidimensional phenomena with a multicriteria composite
performance interval approach
Open Access Article-
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Authors: Ana Garcia-Bernabeu, Adolfo Hilario-Caballero, David Pla-Santamaria, Francisco Salas-Molina
Pages: 368 - 385
Abstract: In the last two decades, the construction of composite indicators to measure and compare multidimensional phenomena in a broad spectrum of domains has increased considerably. Different methodological approaches are used to summarise huge datasets of information in a single figure. This paper proposes a new approach that consists in computing a multicriteria composite performance interval based on different aggregation rules. The suggested approach provides an additional layer of information as the performance interval displays a lower bound from a non-compensability perspective, and an upper bound allowing for full-compensability. The outstanding features of this proposal are: 1) a distance-based multicriteria technique is taken as the baseline to construct the multicriteria performance interval; 2) the aggregation of distances/separation measures is made using particular cases of Minkowski <i>L<SUB align="right">p</i> metric; 3) the span of the multicriteria performance interval can be considered as a sign of the dimensions or indicators balance.
Keywords: composite indicators; multicriteria decision making; compensability; performance interval
Citation: International Journal of Multicriteria Decision Making, Vol. 8, No. 4 (2021) pp. 368 - 385
PubDate: 2022-02-07T23:20:50-05:00
DOI: 10.1504/IJMCDM.2021.120760
Issue No: Vol. 8, No. 4 (2022)
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