With the economic growth of the world, sustainable development is a popular issue in recent years. Sustainable assessment is an important part of sustainable development. There are many previous scholars have used multiple-criteria decision-making (MCDM) to develop different evaluation frameworks in different fields. Elimination et Choix Traduisant la Realite II (ELECTRE II) is one of the most commonly used methods for MCDM. ELECTRE II uses alternatives, criteria, and criteria weighting from decision-makers to calculate the concordance and discordance indices. These two indices are used to rank the alternatives. The concordance and discordance indices in ELECTRE II are important because they are the key to make accurate decisions. Previous scholars have failed to make comprehensive calculations for these indices, nor make their units of measure comparable, which negatively affected their results. This study improved the approach in calculating these indices and illustrated it using three case studies: (1) university examination results, (2) a sustainability assessment of groundwater remediation and (3) an assessment of power generation technologies. This improved ELECTRE II method offers decision-makers an objective basis for decision-making.
MohammedA., NaghshinehB., SpieglerV. and CarvalhoH., Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach, Computers & Industrial Engineering (2021), 107589.
2.
Rubio-AliagaA., Garcia-CascalesM.S., Sanchez-LozanoJ.M.and Molina-GarciaA., MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example, Renewable Energy163 (2021), 213–224.
3.
KarmakerA.K., RahmanM., HossainA. and AhemdR., Exploration and corrective measures of greenhouse gas emission from fossil fuel power stations for Bangladesh, Journal of Cleaner Production244 (2020), 118645.
4.
RoyB., BertierP., La method ELECTRE II, Note de travail 142, SEMA-METRA, Metra-International (1971).
MitincuC.G., IojaI.C., HossuC.A., ArtmannM., NitaA. and NitaM.R., Licensing sustainability related aspects in Strategic Environmental Assessment. Evidence from Romania’s urban areas, Land Use Policy108 (2021), 105572.
7.
HwangC.L. and YoonK., Multiple attribute decision making-methods and applications, Lecture Notes in Economics and Mathematical Systems186 (1981), 115–127.
8.
ChurchmanC.W. and AckoffR.L., An approximate measure of value, Journal of the Operations Research Society of America2(2) (1954), 172–187.
9.
AnD., XiB., WangY., XuD., TangJ., DongL., RenJ. and PangC., A sustainability assessment methodology for prioritizing the technologies of groundwater contamination remediation, Journal of Cleaner Production112 (2016), 4647–4656.
10.
BhadraD. and DharN.R., Selection of the natural fiber for sustainable applications in aerospace cabin interior using fuzzy MCDM model, Materialia21 (2022), 101270.
11.
PamucarD. and CirovicG., The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC), Expert Systems with Applications42 (2015), 3016–3028.
12.
OzdemirE.D., HardtleinM., JenssenT., ZechD. and EltropL., A confusion of tongues or the art of aggregating indicators—Reflections on four projective methodologies on sustainability measurement, Renewable & Sustainable Energy Reviews15(5) (2011), 2385–2396.
13.
ZavadskasE.K., TurskisZ., AntuchevicieneJ. and ZakareviciusA., Optimization of Weighted Aggregated Sum Product Assessment, Elektronika ir Elektrotechnika122(6) (2012), 3–6.
14.
ShenF., LiangC. and YangZ., Combined probabilistic linguistic term set and ELECTRE II method for solving a venture capital project evaluation problem. Economic Research-Ekonomska Istraživanja (2021), 1–23.
15.
SitorusF., CilliersJ.J. and Brito-ParadaP.R., Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends, Expert Systems with Application121 (2019), 393–417.
16.
MarufH.M. and ShihavuddinA.S.M., Adaptation for sustainable implementation of Smart Grid in developing countries like Bangladesh, Energy Reports6 (2020), 2520–2530.
17.
ReddyJ.K., JayakrishnaK. and RajS.A., Prioritization of Factors Influencing Sustainable Product Design in the Context of Green Consumer Behavior Using Hybrid AHP—ELECTRE II: A Case Study, Advances in Industrial Automation and Smart Manufacturing, Springer (2021), 57–67.
18.
TroullakiK., RozakisS. and KostakisV., Bridging barriers in sustainability research: A review from sustainability science to life cycle sustainability assessment, Ecological Economics184 (2021), 107007.
19.
Abdel-BassetM., GamalA., ChakraborttyR.K. and RyanM.J., Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study, International Journal of Hydrogen Energy46(5) (2021), 4567–4591.
20.
AkramM., LuqmanA. and KahramanC., Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems, Applied Soft Computing108 (2021), 107479.
21.
LinM., ChenZ., LiaoH. and XuZ., ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing, Nonlinear Dynamics96 (2019), 2125–2143.
22.
MurshedM., Modeling primary energy and electricity demands in Bangladesh: An Autoregressive distributed lag approach, Sustainable Production and Consumption27 (2021), 698–712.
23.
SarwarM., AkramM. and LiuP., An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process, Artificial Intelligence Review54 (2021), 4449–4481.
24.
YazdaniM., ZarateP., ZavadskasE.K. and TurskisZ., A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems, Management Decision57(9) (2019), 2501–2519.
25.
GhorabaeeM.K., ZavadskasE.K., OlfatL., TurskisZ. and Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS), Informatica26(3) (2015), 435–451.
26.
RahmanM.M. and AlamK., Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh, Renewable Energy172 (2021), 1063–1072.
27.
SarkerM.R., AliS.M., PaulS.K.o4and MunimZ.H., Measuring sustainability performance using an integrated model, Measurement184 (2021), 109931.
28.
GhoruiN., GhoshA., MondalS.P., BajuriM.Y., AhmadianA., SalahshourS. and FerraraM., Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology, Results in Physics21 (2021), 103811.
29.
DasN.K., ChakrabarttyJ., DeyM., GuptaA.K.S. and MatinM.A., Present energy scenario and future energy mix of Bangladesh, Energy Strategy Reviews32 (2020), 100576.
30.
HuangQ., Selecting sustainable renewable energy-powered, desalination: an MCDM framework under uncertain and incomplete information, Clean Technologies and Environmental Policy (2022), 1–18.
31.
BenayounR., RoyB. and SussmanB., ELECTRE: Une methode pour guider le choix en presence de points de vue multiples, Note de travail49 (1966).
32.
TaoR., LiuZ., CaiR. and CheongK.H., A dynamic group MCDM model with intuitionistic fuzzy set: Perspective of alternative queuing method, Information Sciences555 (2021), 85–103.
33.
ZhangR., XuZ. and GouX., ELECTRE II method based on the cosine similarity to evaluate the performance of financial logistics enterprises under double hierarchy hesitant fuzzy linguistic environment, Fuzzy Optimization and Decision Making139 (2022), 1–27.
34.
BoralS., ChaturvediS.K., HowardI., NaikanV.N.A. and McKeeK., An integrated interval type-2 fuzzy sets and multiplicative half quadratic programming-based MCDM framework for calculating aggregated risk ranking results of failure modes in FMECA, Process Safety and Environmental Protection150 (2021), 194–222.
35.
SekerS. and CengizK., Socio-economic evaluation model for sustainable solar PV panels using a novel integrated MCDM methodology: A case in Turkey, Socio -Economic Planning Sciences77 (2021), 100998.
36.
OpricovicS., Multicriteria Opitimization of Civil Engineering Systems (1998), Belgrade: Faculty of Civil Engineering.
37.
RaoS.H., A hybrid MCDM model based on DEMATEL and ANP for improving the measurement of corporate sustainability indicators: A study of Taiwan High Speed Rail, Research in Transportation Business & Management9 (2021), 100657.
38.
SarawatS.K., DigalwarA.K., YadavS.S. and KumarG., MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India, Renewable Energy169 (2021), 865–884.
39.
ChangS.S., Fuzzy Multi-Criteria Decision Making for Evaluation Method, Wu-Nan Book Inc., Taipei (2012).
40.
AliT., ChiuY.R., AghalooK., NahianA.J. and MaH., Prioritizing the existing power generation technologies in Bangladesh clean energy scheme using a hybrid multi-criteria decision making model, Journal of Cleaner Production267 (2020), 121901.
41.
SinghT., PattnaikP., PruncuC.I., TiwariA. and FeketeG., Selection of natural fibers based brake friction composites using hybrid ELECTRE-entropy optimization technique, Polymer Testing89 (2020), 106614.
42.
ArulnathanV., HeidariM.D., DoyonM., LiE. and PelletierN., Farm-level decision support tools: A review of methodological choices and their consistency with principles of sustainability assessment, Journal of Cleaner Production256 (2021), 120410.
43.
BrauersW.K. and ZavadskasE.K., The MOORA method and its application to privatization in a transition economy, Control and Cybernetics35(2) (2006), 445–469.
44.
LiuX. and WanS., A method to calculate the ranges of criteria weights in ELECTRE I and II methods, Computers & Industrial Engineering137 (2019), 106067.
45.
LiuZ., WangW., WangD. and LiuP., A modified ELECTRE II method with double attitude parameters based on linguistic Z-number and its application for third-party reverse logistics provider selection, Applied Intelligence117 (2022), 1–24.
46.
StevicZ., PamucarD., PuskaA. and ChatterjeeR., Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to Compromise solution (MARCOS), Computers & Industrial Engineering140 (2020), 106231.
