intelligent decision-making and consensus under uncertainty in inconsistent and dynamic environments

  in Special Issue   Posted on November 2, 2017

Information for the Special Issue

Submission Deadline: Wed 31 Jan 2018
Journal Impact Factor : 5.921
Journal Name : Knowledge-Based Systems
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Website for the Special Issue:
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Special Issue Call for Papers:

E. Herrera-Viedma, F. Chiclana, Y.C. Dong, V. Loia, G. Kou and H. Fujita


Societal and technological trends make the decision environments more and more complex. The emergence of the intelligent decision making technology provides a good decision support to deal with these complex decision making problems, and Artificial Intelligence tools play a core role in the intelligent decision making technology. In recent years, intelligent decision support systems based on Computational Intelligence have attracted the attention of both academic, researchers and practitioners in a wide range of disparate areas from computing science, engineering, operations research, economics and also management. Therefore, intelligent decision support systems and consensus models are of great importance to deal with complex decision environments, and involve the design of mathematical models for modeling decision problems, the use of different Information Technologies (such as the Web and social networks) and Artificial Intelligence tools (such as Computational Intelligence tools).

On the other hand, the development of formal mathematical models to support experts in making decisions is of great importance to assure the validity of the actions derived from a decision outcome. This is of special relevance in decision contexts where the information on the problem at hand is not amenable to be modelled in a quantitative and precise way. Another issue to be addressed is that of inconsistency of information and the dynamic nature of the decision making process itself. This type of decision-making is now being described as decision-making under uncertainty in inconsistent and dynamic environments.


The objective of this special issue is to attract researchers with an interest in the research area described above. Specifically, we are interested in the contributions towards the development of mathematical models for modeling decision problems, as well as computational intelligence based approaches that are able to deal with complex decision information (such as uncertain and inconsistency information). Special attentions are to be paid

  1. The applications of the intelligent decision approaches on various domains, and
  2. The performance comparisons of various decision making procedures.

Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Indicative, but not complete, lists of topics covered in this focus session include:

  • Fuzzy preference modeling in intelligent decision support systems
  • Intelligent negotiation systems
  • Intelligent decision making in complex and dynamic contexts
  • Fuzzy consensus and decision making in Web frameworks
  • Consistency issues in preference modeling
  • Intelligent decision making system for big data
  • Aggregation of fuzzy preferences
  • Missing preferences in the fuzzy decision making
  • Applications of the intelligent decision support systems as in supplier selection, ensemble classifiers, portfolio selection, resource allocation, social networks, web.
  • Comparison analysis regarding different intelligent decision making models
  • Consensus in group decision-making
  • Consensus measures
  • Consensus and fuzzy ontologies
  • Consensus software tools
  • Fuzzy decision in Web 2.0


Please submit a full-length paper through the KBS journal online submission system and indicate it is to this special issue. Papers should be formatted by following KBS manuscript formatting guidelines. For any submission which has partly published in a conference, we request authors to have at least 70% extension of their original papers. The submission procedure will be managed by the guest editors and strictly follow the rules of KBS.


  • January 31, 2018: Submission deadline
  • April 1ts 2018: Notification of the first-round review
  • July 30, 2018: Final Reception of the accepted papers

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