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In a quest for suitable similarity measures to compare experience-based evaluations

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After representing experience-based evaluations as intuitionistic fuzzy sets (IFSs), one might expect that all of the existing similarity measures for IFSs could be used to compare them. However, only some of those measures seem to be suitable to do so according to a psychological perspective which indicates that similarity measures assuming symmetry and transitivity could not reflect properly the perceived similarity. Consequently, to determine empirically their suitability for such comparisons, several similarity measures for IFSs were tested on simulated experience-based evaluations. This paper presents our findings about how each of them reflected the perceived similarity among the simulated experience-based evaluation sets.
Keywords
Experience-based evaluations, Similarity Measures, Intuitionistic fuzzy sets

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Chicago
Loor Romero, Marcelo Eduardo, and Guy De Tré. 2017. “In a Quest for Suitable Similarity Measures to Compare Experience-based Evaluations.” In COMPUTATIONAL INTELLIGENCE, IJCCI 2015 , ed. Juan Julián Merelo, Agostinho Rosa, José M. Cadenas, António Dourado Correia, Kurosh Madani, António Ruano, and Joaquim Filipe, 669:291–314. Springer International Publishing.
APA
Loor Romero, M. E., & De Tré, G. (2017). In a quest for suitable similarity measures to compare experience-based evaluations. In Juan Julián Merelo, A. Rosa, J. M. Cadenas, A. D. Correia, K. Madani, A. Ruano, & J. Filipe (Eds.), COMPUTATIONAL INTELLIGENCE, IJCCI 2015 (Vol. 669, pp. 291–314). Presented at the 7th International Joint Conference on Computational Intelligence (IJCCI) , Springer International Publishing.
Vancouver
1.
Loor Romero ME, De Tré G. In a quest for suitable similarity measures to compare experience-based evaluations. In: Merelo JJ, Rosa A, Cadenas JM, Correia AD, Madani K, Ruano A, et al., editors. COMPUTATIONAL INTELLIGENCE, IJCCI 2015 . Springer International Publishing; 2017. p. 291–314.
MLA
Loor Romero, Marcelo Eduardo, and Guy De Tré. “In a Quest for Suitable Similarity Measures to Compare Experience-based Evaluations.” COMPUTATIONAL INTELLIGENCE, IJCCI 2015 . Ed. Juan Julián Merelo et al. Vol. 669. Springer International Publishing, 2017. 291–314. Print.
@inproceedings{8509320,
  abstract     = {After representing experience-based evaluations as intuitionistic fuzzy sets (IFSs), one might expect that all of the existing similarity measures for IFSs could be used to compare them. However, only some of those measures seem to be suitable to do so according to a psychological perspective which indicates that similarity measures assuming symmetry and transitivity could not reflect properly the perceived similarity. Consequently, to determine empirically their suitability for such comparisons, several similarity measures for IFSs were tested on simulated experience-based evaluations. This paper presents our findings about how each of them reflected the perceived similarity among the simulated experience-based evaluation sets. },
  author       = {Loor Romero, Marcelo Eduardo and De Tr{\'e}, Guy},
  booktitle    = {COMPUTATIONAL INTELLIGENCE, IJCCI 2015 },
  editor       = {Merelo, Juan Juli{\'a}n and Rosa, Agostinho and Cadenas, Jos{\'e} M. and Correia, Ant{\'o}nio Dourado and Madani, Kurosh and Ruano, Ant{\'o}nio and Filipe, Joaquim},
  issn         = {978-3-319-48506-5},
  keyword      = {Experience-based evaluations,Similarity Measures,Intuitionistic fuzzy sets},
  language     = {eng},
  location     = {Lisbon, PORTUGAL },
  pages        = {291--314},
  publisher    = {Springer International Publishing},
  title        = {In a quest for suitable similarity measures to compare experience-based evaluations},
  url          = {http://dx.doi.org/10.1007/978-3-319-48506-5\_15},
  volume       = {669},
  year         = {2017},
}

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