Multi-criteria Decision Analysis: Methods and Software
By Alessio Ishizaka, Philippe Nemery. 2013
1,224 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/5945d2851f5d067378bd99e8a972ae278fe2e575
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Matteo Brunelli
- Marco Cinelli
- Jaroslaw Watrobski
- Salvatore Greco
- Alessio Ishizaka
- Gianpiero Torrisi
- Andrii Shekhovtsov
- Wojciech Sałabun
In Management Science and Operations Research
- R. Słowiński
- Salvatore Greco
- Marco Cinelli
- Benedetto Matarazzo
- Matteo Brunelli
- Miłosz Kadziński
- Jaroslaw Watrobski
- Michael Gonzalez
Citations in the corpus
- Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, methodology): “…TO OBJECTIVE SUBJECTIVITY IN REGIONAL ECONOMIC RANKING In multiple criteria decision analysis (MCDA) problems (Greco, Ehrgott, & Figueira, 2016; Ishizaka & Nemery, 2013) a set of alternatives A ¼ {a1,… , am} is evaluated based on a set of evaluation criteria G ¼ {g1,… , gn} in order to deal…”
- Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods (2020, methodology): “The full order of variants is obtained here [65]; • The synthesis of the criteria based on the relation of outranking: Due to the occurrence of incomparability relations, this approach allows for obtaining the partial order of variants [65]; • Aggregation based on decision rules [63]: This approach ”
- How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy (2020, methodology): “There are MCDA methods that are implemented in software tools, and the sensitivity analysis is an associated feature, like DECERNS, PROMETHEE-GAIA, Logical Decisions, MMACBETH, and VISA [103,85,178].”
- Don't forget, there is more than forgetting: new metrics for Continual Learning (2018, background): “1) In order to assess a CL algorithm A CL , following (Ishizaka and Nemery, 2013), each criterion c i ∈ C (where Each c i should be the average of r runs.”
- Introduction to the Analytic Hierarchy Process (2014, methodology): “The organization of this booklet is quite unorthodox and differs from the approach used in other expositions [19, 20, 74, 102, 103, 106].”
- Multiple Criteria Decision Analysis for Health Care Decision Making--Emerging Good Practices: Report 2 of the ISPOR MCDA Emerging Good Practices Task Force. (2016, methodology): “Many steps and recommendations outlined in the ISPOR MCDA Good Practice Guidelines Checklist can be supported by specialized decision-making software, and these are described in detail elsewhere [94,95].”
- On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2018, background): “Originally introduced by Saaty in the 1970s (Saaty 1977, 1980), the AHP translates a complex problem into a hierarchy consisting of three levels: the ultimate goal, the criteria, and the alternatives (Ishizaka and Nemery 2013, pp. 13–14).”
- Generalised framework for multi-criteria method selection (2018, methodology): “The selection of a multi-criteria method is usually carried out arbitrarily and is motivated by the decision-maker’s knowledge of a given method or availability of software supporting the method [10,43] .”
- Biodiesel from microalgae: The use of multi-criteria decision analysis for strain selection (2015, methodology): “The major drawback of this method is that it assumes linearity of preferences which may not reflect the decision maker’s preferences [25].”
- A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes (2018, methodology): “Consulting Guitoni, Martel et Vincke [15] and Ishizaka and Nemery [9], it can be noted that the most frequently used and implemented are:”