- J. C. R. Alcantud. A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set. Information Fusion 29 (2016), 142-148.
- J. C. R. Alcantud. Some formal relationships among soft sets, fuzzy sets, and their extensions. International Journal of Approximate Reasoning 68 (2016), 45-53.
- J. C. R. Alcantud and R. de Andrés. A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets. International Journal of Computational Intelligence Systems 9(2) (2016), 325-339.
- J. C. R. Alcantud, R. de Andrés and M. J. Muñoz Torrecillas. Hesitant Fuzzy Worth: an innovative ranking methodology for hesitant fuzzy subsets. Applied Soft Computing 38 (2016), 232-243.
- J. C. R. Alcantud, G. Bosi and M. Zuanon. Richter-Peleg multi-utility representations of preorders. Theory and Decision
80 (2016), 443–450. - J. C. R. Alcantud and S. Díaz. Fuzzy preorders: conditional extensions, extensions and their representations. Fuzzy Optimization & Decision Making 15 (2016), 371-396.
- J. L. García-Lapresta and D. Pérez-Román. Consensus-based clustering under hesitant qualitative assessments. Fuzzy Sets and Systems 292 (2016), 261-273.
- T. González-Arteaga, J. C. R. Alcantud and R. de Andrés Calle. A cardinal dissensus measure based on the Mahalanobis distance. European Journal of Operational Research 251 (2016), 575-585.
- T. González-Arteaga, J. C. R. Alcantud, R. de Andrés. A new consensus ranking approach for correlated ordinal information based on Mahalanobis distance. Information Sciences 372 (2016), 546-564.
- T. González-Arteaga, R. de Andrés and F. Chiclana. A new measure of consensus with reciprocal preference relations: The correlation consensus degree. Knowledge Based Systems 107 (2016), 104-116.
- J. M. Gutiérrez, I. Llamazares. Collective members in West European parties. Revista Internacional de Sociología 74 (2016), e030.
- B. Llamazares. A behavioral analysis of WOWA and SUOWA operators. International Journal of Intelligent Systems 31 (2016), 827-851.
- B. Llamazares. Ranking candidates through convex sequences of variable weights. Group Decision and Negotiation 25 (2016), 567-584.
- B. Llamazares. SUOWA operators: Constructing semi-uninorms and analyzing specific cases. Fuzzy Sets and Systems 287 (2016), 119-136.
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M. Molpeceres-Abella and J. L. García-Lapresta. Quality of life and poverty: Measurement and comparability. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, Suppl. 1 (2016), 63-85.
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New publication in Information Sciences
The paper Metrizable ordinal proximity measures and their aggregation, byJ. L. García-Lapresta, R. González del Pozo and D. Pérez-Román, has been accepted for publication in Information Sciences. The impact factor of this journal is 4.832, its 5-year impact factor is 4.732 (JCR 2016).
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New publication in Fuzzy Sets and Systems
The paper Fuzzy politics I: the genesis of parties, by J. C. R. Alcantud, A. E. Biondo and A. Giarlotta, has been accepted for publication in Fuzzy Sets and Systems. The impact factor of this journal is 2.718, its 5-year impact factor is 2.783 (JCR 2016).
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New publication in Journal of Intelligent and Fuzzy Systems
The paper «A multimodal adaptive approach on soft set based diagnostic risk prediction system», by Terry Jacob Mathew, Elizabeth Sherly and José Carlos R. Alcantud, has been accepted for publication in Journal of Intelligent and Fuzzy Systems. The impact factor of this journal is 1.261 (JCR 2016).
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New publication in Artificial Intelligence Review.
The paper «A novel type of soft rough covering and its application to multicriteria group decision making», by Jianming Zhan and José Carlos R. Alcantud, has been accepted for publication in Artificial Intelligence Review. The impact factor of this journal is 2.627, its 5-year impact factor is 2.835 (JCR 2016).
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New publication in Artificial Intelligence Review
The paper «A survey of parameter reduction of soft sets and corresponding algorithms«, by Jianming Zhan and José Carlos R. Alcantud, has been accepted for publication in Artificial Intelligence Review. The impact factor of this journal is 2.627, its 5-year impact factor is 2.835 (JCR 2016).