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Editorial

Fuzzy Techniques for Decision Making

by
José Carlos R. Alcantud
BORDA Research Unit and IME, University of Salamanca, 37008 Salamanca, Spain
Symmetry 2018, 10(1), 6; https://doi.org/10.3390/sym10010006
Submission received: 22 December 2017 / Revised: 22 December 2017 / Accepted: 25 December 2017 / Published: 27 December 2017
(This article belongs to the Special Issue Fuzzy Techniques for Decision Making)
This book contains the successful invited submissions [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21] to a Special Issue of Symmetry on the subject area of “Fuzzy Techniques for Decision Making”.
We invited contributions addressing novel techniques and tools for decision making (e.g., group or multi-criteria decision making), with notions that overcome the problem of finding the membership degree of each element in Zadeh’s original model. We could garner interesting articles in a variety of setups, as well as applications. As a result, this Special Issue includes some novel techniques and tools for decision making, such as:
  • Instrumental tools for analysis like correlation coefficients [1,16] or similarity measures [4] and aggregation operators [2,21] in various settings.
  • Novel contributions to methodologies, like discrete optimization with fuzzy constraints [3], COMET [5], or fuzzy bi-matrix games [7].
  • New methodologies for hybrid models [12,15,18,20] inclusive of theoretical novelties [9].
  • Applications to project delivery systems [6], maintenance performance in industry [8], group emergencies [10], pedestrians flows [11], valuation of assets [13], water pollution control [17], or aquaculture enterprise sustainability [19].
  • A comparative study of some classes of soft rough sets [14].
Response to our call had the following statistics:
  • Submissions (58);
  • Publications (21);
  • Rejections (37);
  • Article types: Research Article (21);
Authors’ geographical distribution (published papers) is:
  • China (11)
  • Spain (4)
  • Pakistan (2)
  • Poland (1)
  • Japan (1)
  • Taiwan (1)
  • Slovenia (1)
Published submissions are related to various settings like fuzzy soft sets, hesitant fuzzy sets, (fuzzy) soft rough sets, neutrosophic sets, as well as other hybrid models.
I found the edition and selections of papers for this book very inspiring and rewarding. I also thank the editorial staff and reviewers for their efforts and help during the process.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ye, J. Multiple Attribute Decision-Making Method Using Correlation Coefficients of Normal Neutrosophic Sets. Symmetry 2017, 9, 80. [Google Scholar] [CrossRef]
  2. Chen, J.; Ye, J. Some Single-Valued Neutrosophic Dombi Weighted Aggregation Operators for Multiple Attribute Decision-Making. Symmetry 2017, 9, 82. [Google Scholar] [CrossRef]
  3. Jelušič, P.; Žlender, B. Discrete Optimization with Fuzzy Constraints. Symmetry 2017, 9, 87. [Google Scholar] [CrossRef]
  4. Jiang, W.; Shou, Y. A Novel Single-Valued Neutrosophic Set Similarity Measure and Its Application in Multicriteria Decision-Making. Symmetry 2017, 9, 127. [Google Scholar] [CrossRef]
  5. Faizi, S.; Sałabun, W.; Rashid, T.; Wątróbski, J.; Zafar, S. Group Decision-Making for Hesitant Fuzzy Sets Based on Characteristic Objects Method. Symmetry 2017, 9, 136. [Google Scholar] [CrossRef]
  6. Luo, S.; Cheng, P.; Wang, J.; Huang, Y. Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations. Symmetry 2017, 9, 151. [Google Scholar] [CrossRef]
  7. Zhang, W.; Xing, Y.; Qiu, D. Multi-objective Fuzzy Bi-matrix Game Model: A Multicriteria Non-Linear Programming Approach. Symmetry 2017, 9, 159. [Google Scholar] [CrossRef]
  8. Carnero, M. Asymmetries in the Maintenance Performance of Spanish Industries before and after the Recession. Symmetry 2017, 9, 166. [Google Scholar] [CrossRef]
  9. Tang, H. Decomposition and Intersection of Two Fuzzy Numbers for Fuzzy Preference Relations. Symmetry 2017, 9, 228. [Google Scholar] [CrossRef]
  10. Wang, L.; Labella, Á.; Rodríguez, R.; Wang, Y.; Martínez, L. Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making. Symmetry 2017, 9, 234. [Google Scholar] [CrossRef]
  11. Xue, Z.; Dong, Q.; Fan, X.; Jin, Q.; Jian, H.; Liu, J. Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians. Symmetry 2017, 9, 239. [Google Scholar] [CrossRef]
  12. Liu, Z.; Qin, K.; Pei, Z. A Method for Fuzzy Soft Sets in Decision-Making Based on an Ideal Solution. Symmetry 2017, 9, 246. [Google Scholar] [CrossRef]
  13. Alcantud, J.; Rambaud, S.; Torrecillas, M. Valuation Fuzzy Soft Sets: A Flexible Fuzzy Soft Set Based Decision Making Procedure for the Valuation of Assets. Symmetry 2017, 9, 253. [Google Scholar] [CrossRef]
  14. Liu, Y.; Martínez, L.; Qin, K. A Comparative Study of Some Soft Rough Sets. Symmetry 2017, 9, 252. [Google Scholar] [CrossRef]
  15. Katagiri, H.; Kato, K.; Uno, T. Possibility/Necessity-Based Probabilistic Expectation Models for Linear Programming Problems with Discrete Fuzzy Random Variables. Symmetry 2017, 9, 254. [Google Scholar] [CrossRef]
  16. Wang, Z.; Li, J. Correlation Coefficients of Probabilistic Hesitant Fuzzy Elements and Their Applications to Evaluation of the Alternatives. Symmetry 2017, 9, 259. [Google Scholar] [CrossRef]
  17. Liu, J.; Li, Y.; Huang, G.; Chen, L. A Recourse-Based Type-2 Fuzzy Programming Method for Water Pollution Control under Uncertainty. Symmetry 2017, 9, 265. [Google Scholar] [CrossRef]
  18. Akram, M.; Ali, G.; Alshehri, N. A New Multi-Attribute Decision-Making Method Based on m-Polar Fuzzy Soft Rough Sets. Symmetry 2017, 9, 271. [Google Scholar] [CrossRef]
  19. Wu, T.; Chen, C.; Mao, N.; Lu, S. Fishmeal Supplier Evaluation and Selection for Aquaculture Enterprise Sustainability with a Fuzzy MCDM Approach. Symmetry 2017, 9, 286. [Google Scholar] [CrossRef]
  20. Sarwar, M.; Akram, M. New Applications of m-Polar Fuzzy Matroids. Symmetry 2017, 9, 319. [Google Scholar] [CrossRef]
  21. Kobina, A.; Liang, D.; He, X. Probabilistic Linguistic Power Aggregation Operators for Multi-criteria Group Decision Making. Symmetry 2017, 9, 320. [Google Scholar] [CrossRef]

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MDPI and ACS Style

Carlos R. Alcantud, J. Fuzzy Techniques for Decision Making. Symmetry 2018, 10, 6. https://doi.org/10.3390/sym10010006

AMA Style

Carlos R. Alcantud J. Fuzzy Techniques for Decision Making. Symmetry. 2018; 10(1):6. https://doi.org/10.3390/sym10010006

Chicago/Turabian Style

Carlos R. Alcantud, José. 2018. "Fuzzy Techniques for Decision Making" Symmetry 10, no. 1: 6. https://doi.org/10.3390/sym10010006

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