Electre Methods. Over the last three decades a large body of research in the field of ELECTRE family methods appeared. This research has been conducted by several researchers mainly in Europe. The purpose of this chapter is to present a survey of the ELECTRE methods since their first appearance in mid-sixties, when ELECTRE I was proposed by Bernard Roy and his colleagues at SEMA consultancy company. The chapter is organized in five sections. The first section presents a brief history of ELECTRE methods. The second section is devoted to the main features of ELECTRE methods. The third section describes the different ELECTRE methods existing in the literature according to the three main problematics: choosing, ranking and sorting. The fourth section presents the recent developments and future issues on ELECTRE methods. Finally, the fifth section is devoted to the software and applications. An extensive and up-to-date bibliography is also provided in the end of this chapter.

References in zbMATH (referenced in 128 articles , 1 standard article )

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  1. Tlili, Ali; Belahcène, Khaled; Khaled, Oumaima; Mousseau, Vincent; Ouerdane, Wassila: Learning non-compensatory sorting models using efficient SAT/MaxSAT formulations (2022)
  2. Arcidiacono, Sally Giuseppe; Corrente, Salvatore; Greco, Salvatore: Robust stochastic sorting with interacting criteria hierarchically structured (2021)
  3. Corrente, S.; Figueira, J. R.; Greco, S.: Pairwise comparison tables within the deck of cards method in multiple criteria decision aiding (2021)
  4. Greco, Salvatore; Ishizaka, Alessio; Tasiou, Menelaos; Torrisi, Gianpiero: The ordinal input for cardinal output approach of non-compensatory composite indicators: the PROMETHEE scoring method (2021)
  5. Costa, Ana Sara; Corrente, Salvatore; Greco, Salvatore; Figueira, José Rui; Borbinha, José: A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity (2020)
  6. Haseli, Gholamreza; Sheikh, Reza; Sana, Shib Sankar: Extension of base-criterion method based on fuzzy set theory (2020)
  7. Xian, Sidong; Yu, Dongxu; Sun, Yifei; Liu, Zhou: A novel outranking method for multiple criteria decision making with interval-valued Pythagorean fuzzy linguistic information (2020)
  8. Bentkowska, Urszula; Pȩkala, Barbara; Rząsa, Wojciech: The stability of local properties of fuzzy relations under ordinal equivalence (2019)
  9. Greco, Salvatore; Ishizaka, Alessio; Tasiou, Menelaos; Torrisi, Gianpiero: Sigma-mu efficiency analysis: a methodology for evaluating units through composite indicators (2019)
  10. Lagravinese, Raffaele; Liberati, Paolo; Resce, Giuliano: Exploring health outcomes by stochastic multicriteria acceptability analysis: an application to Italian regions (2019)
  11. Lin, Mingwei; Chen, Zheyu; Liao, Huchang; Xu, Zeshui: ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing (2019)
  12. Meyer, Patrick; Olteanu, Alexandru-Liviu: Handling imprecise and missing evaluations in multi-criteria majority-rule sorting (2019)
  13. Rashid, Tabasam; Faizi, Shahzad; Zafar, Sohail: Outranking method for intuitionistic 2-tuple fuzzy linguistic information model in group decision making (2019)
  14. Wang, Jianqiang; Peng, Juanjuan; Zhang, Hongyu; Chen, Xiaohong: Outranking approach for multi-criteria decision-making problems with hesitant interval-valued fuzzy sets (2019)
  15. Attardi, Raffaele; Cerreta, Maria; Sannicandro, Valentina; Torre, Carmelo Maria: Non-compensatory composite indicators for the evaluation of urban planning policy: the Land-Use Policy Efficiency Index (LUPEI) (2018)
  16. Kanatchikov, Igor V.: Schrödinger wave functional in quantum Yang-Mills theory from precanonical quantization (2018)
  17. Licata, Ignazio; Benedetto, Elmo: The charge in a lift. A covariance problem (2018)
  18. Solares, Efrain; Fernández, Eduardo; Navarro, Jorge: A generalization of the outranking approach by incorporating uncertainty as interval numbers (2018)
  19. Fernández, Eduardo R.; Navarro, Jorge A.; Picos, Julio C.; Espín, Rafael A.: A new model for aggregating multicriteria preferences based on fuzzy logic (2017)
  20. Meyer, Patrick; Olteanu, Alexandru-Liviu: Integrating large positive and negative performance differences into multicriteria majority-rule sorting models (2017)

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