Skip to content

The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.

License

Notifications You must be signed in to change notification settings

AnniceNajafi/RMCDA

Repository files navigation

RMCDA

This R package has been developed to serve as a universal library in R for the application of multi-criteria decision making methods.


DOI

Installation Guide

To install R package run the following code:

devtools::install_github("AnniceNajafi/RMCDA")

Description of Methods

This is an R package for applying MCDA methods on product data.

Methods

Method Full Name References
AHP Analytic Hierarchy Process Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of systems science and systems engineering, 13, 1-35.
Fuzzy AHP Fuzzy Analytic Hierarchy Process Pehlivan, N. Y., Paksoy, T., & Çalik, A. (2017). Comparison of methods in FAHP with application in supplier selection. In Fuzzy analytic hierarchy process (pp. 45-76). Chapman and Hall/CRC.
ANP Analytic Network Process Saaty, T. L., & Vargas, L. G. (2006). Decision making with the analytic network process (Vol. 282). Berlin, Germany: Springer Science+ Business Media, LLC.
ARAS Additive Ratio Assessment Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and economic development of economy, 16(2), 159-172.
BORDA Borda Count Method Borda, J. D. (1781). M'emoire sur les' elections au scrutin. Histoire de l'Acad'emie Royale des Sciences.
BWM Best Worst Method Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
COCOSO Combined Compromise Solution Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management decision, 57(9), 2501-2519.
CODAS Combinative Distance-based Assessment Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antuchevičienė, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making.
COPELAND Copeland Method Saari, D. G., & Merlin, V. R. (1996). The copeland method: I.: Relationships and the dictionary. Economic theory, 8, 51-76.
COPRAS Complex Proportional Assessment Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic journal of Road and Bridge engineering, 2(4), 195-203.
CRADIS Compromise Ranking and Distance from Ideal Solution Puška, A., Stević, Ž., & Pamučar, D. (2022). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability, 1-31.
CRITIC CRiteria Importance Through Intercriteria Correlation Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.
DEMATEL Decision-Making Trial and Evaluation Laboratory Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL technique: a systematic review of the state‐of‐the‐art literature on methodologies and applications. Mathematical problems in Engineering, 2018(1), 3696457.
EDAS Evaluation based on Distance from Average Solution Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
ELECTRE I ELimination Et Choix Traduisant la REalité Roy, B. (1968). Classement et choix en présence de points de vue multiples. Revue française d'informatique et de recherche opérationnelle, 2(8), 57-75.
ENTROPY Entropy Method Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423.
GRA Grey Relational Analysis Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & industrial engineering, 55(1), 80-93.
IDOCRIW Integrated Determination of Objective CRIteria Weights Zavadskas, E. K., & Podvezko, V. (2016). Integrated determination of objective criteria weights in MCDM. International Journal of Information Technology & Decision Making, 15(02), 267-283.
MABAC Multi-Attributive Border Approximation Area Comparison Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert systems with applications, 42(6), 3016-3028.
MACBETH Measuring Attractiveness by a Categorical Based Evaluation Technique Marcelino, P., Antunes, M. D. L., Fortunato, E., & Gomes, M. C. (2019). Development of a multi criteria decision analysis model for pavement maintenance at the network level: Application of the MACBETH approach. Frontiers in Built Environment, 5, 6.
MAIRCA Multi-Attribute Ideal Real Comparative Analysis Hadian, S., Shahiri Tabarestani, E., & Pham, Q. B. (2022). Multi attributive ideal-real comparative analysis (MAIRCA) method for evaluating flood susceptibility in a temperate Mediterranean climate. Hydrological Sciences Journal, 67(3), 401-418.
MARA Multi-Attribute Ranking Approach Gligorić, M., Gligorić, Z., Lutovac, S., Negovanović, M., & Langović, Z. (2022). Novel hybrid MPSI–MARA decision-making model for support system selection in an underground mine. Systems, 10(6), 248.
MARCOS Measurement of Alternatives and Ranking based on Compromise Solution Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & industrial engineering, 140, 106231.
MOORA Multi-Objective Optimization by Ratio Analysis Brauers, W. K., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and cybernetics, 35(2), 445-469.
MOOSRA Multi-objective Optimization on the Basis of Simple Ratio Analysis Jagadish, R. A., & Ray, A. (2014). Green cutting fluid selection using MOOSRA method. International Journal of Research in Engineering and Technology, 3(3), 559-563.
MULTIMOORA Multi-Objective Optimization on the basis of a Ratio Analysis plus the full MULTIplicative form Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and economic development of economy, 16(1), 5-24.
OCRA Outranking Compromise Ranking Approach Madić, M., Petković, D., & Radovanović, M. (2015). Selection of non-conventional machining processes using the OCRA method. Serbian Journal of Management, 10(1), 61-73.
OPA Ordered Performance Analysis Ataei, Y., Mahmoudi, A., Feylizadeh, M. R., & Li, D. F. (2020). Ordinal priority approach (OPA) in multiple attribute decision-making. Applied Soft Computing, 86, 105893.
ORESTE Organisation, Rangement Et Synthèse De Données Relatives À L’évaluation Roubens, M. (1982). Preference relations on actions and criteria in multicriteria decision making. European Journal of Operational Research, 10(1), 51-55.
PIV Position Index Value Mufazzal, S., & Muzakkir, S. M. (2018). A new multi-criterion decision making (MCDM) method based on proximity indexed value for minimizing rank reversals. Computers & Industrial Engineering, 119, 427-438.
PROMETHEE Preference Ranking Organization Method for Enrichment Evaluation Brans, J. P., & De Smet, Y. (2016). PROMETHEE methods. Multiple criteria decision analysis: state of the art surveys, 187-219.
PSI Preference Selection Index Maniya, K., & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials & Design, 31(4), 1785-1789.
RAFSI Ranking Alternatives using Full Subset Inference Žižović, M., Pamučar, D., Albijanić, M., Chatterjee, P., & Pribićević, I. (2020). Eliminating rank reversal problem using a new multi-attribute model—the RAFSI method. Mathematics, 8(6), 1015.
REGIME Regime Analysis Hinloopen, E., & Nijkamp, P. (1990). Qualitative multiple criteria choice analysis: the dominant regime method. Quality and quantity, 24, 37-56.
RIM Ranking Index Method Cables, E., Lamata, M. T., & Verdegay, J. L. (2016). RIM-reference ideal method in multicriteria decision making. Information Sciences, 337, 1-10.
ROV Range of Value Method Madić, M., Radovanović, M., & Manić, M. (2016). Application of the ROV method for the selection of cutting fluids. Decision Science Letters, 5(2), 245-254.
SAW Simple Additive Weighting Panjaitan, M. I. (2019). Simple Additive Weighting (SAW) method in determining beneficiaries of foundation benefits. Login, 13(1), 19-25.
SBWM Stratified Best Worst Method Torkayesh, A. E., Malmir, B., & Asadabadi, M. R. (2021). Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method. Waste Management, 122, 100-112.
SECA Simple Evaluation of Complex Alternatives Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265-280.
SMART Simple Multi-Attribute Rating Technique Olson, D. L., & Olson, D. L. (1996). Smart. Decision aids for selection problems, 34-48.
SMCDM Stratified Multi-Criteria Decision Making Asadabadi, M. R. (2018). The stratified multi-criteria decision-making method. Knowledge-Based Systems, 162, 115-123.
SPOTIS Stable Preference Ordering Towards Ideal Solution Dezert, J., Tchamova, A., Han, D., & Tacnet, J. M. (2020, July). The SPOTIS rank reversal free method for multi-criteria decision-making support. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE.
SRMP Simple Ranking Method using Reference Profiles Khannoussi, A., Olteanu, A. L., Labreuche, C., & Meyer, P. (2022). Simple ranking method using reference profiles: incremental elicitation of the preference parameters. 4OR, 1-32.
TODIM Interactive and Multicriteria Decision Making Gomes, L. F. A. M. (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research, 193(1), 204-211.
TOPSIS Technique for Order of Preference by Similarity to Ideal Solution Hwang, C. L., Yoon, K., Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191.
VIKOR VIšekriterijumsko KOmpromisno Rangiranje Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
WASPAS Weighted Aggregated Sum Product Assessment Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6.
WPM Weighted Product Method San Cristóbal Mateo, J. R., & Mateo, J. R. S. C. (2012). Weighted sum method and weighted product method. Multi criteria analysis in the renewable energy industry, 19-22.
WSM Weighted Sum Method San Cristóbal Mateo, J. R., & Mateo, J. R. S. C. (2012). Weighted sum method and weighted product method. Multi criteria analysis in the renewable energy industry, 19-22.
WINGS Weighted Influence Nonlinear Gauge System Michnik, J. (2013). Weighted Influence Non-linear Gauge System (WINGS)–An analysis method for the systems of interrelated components. European Journal of Operational Research, 228(3), 536-544.
WISP Weighted Influence Score Preference Stanujkic, D., Popovic, G., Karabasevic, D., Meidute-Kavaliauskiene, I., & Ulutaş, A. (2021). An integrated simple weighted sum product method—WISP. IEEE Transactions on Engineering Management, 70(5), 1933-1944.

Online Application

Web-based application to apply methods can be accessed through this link.

Contact Information

For any technical questions, please contact Annice Najafi.


Open-source software developed in California, 🇺🇸

About

The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages