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Special Session

ISKE 2023 Special Session on Decision Models under Uncertainty Applied for Sustainable Development

The 2023 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2023) is the 18th in a series of ISKE conferences. The conference will be held in Fuzhou, a beautiful place in southeast of China.

The conference proceedings will be published by IEEE Press (sent to be EI indexed). Special issues of SCI indexed journals will be devoted to a strict refereed selection of extended papers presented at ISKE 2023.

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Scope and Motivation

The 17 Sustainable Development Goals (SDGs) were adopted by all United Nations Member States in 2015 as a universal call to action to end poverty, protect the planet and ensure that all people enjoy peace and prosperity by 2030. These goals are interconnected and include a range of ambitious targets to tackle pressing global issues, such as poverty, hunger, gender inequality, climate change, and environmental degradation. They are intended to guide policies and actions at the national and global levels, mobilize resources, and foster partnerships to achieve a sustainable and equitable future for all. However, the enormous complexity of the problems associated with SDGs makes stakeholders often come up with assumptions that do not reflect the real world constraints necessary to reduce such complexity. As a result, the development and implementation of SD policies and plans become crucial to meeting the targets associated with the SDGs and the Intelligent Decision-Making plays a crucial role in this process. Furthermore, many of the decision-making (DM) problems that involve sustainability policy-making and SD decision support are defined under contexts where the information is vague and uncertain. To deal with uncertainty in DM problems, different fuzzy methodologies and theories have been proposed in the literature, such as fuzzy sets, fuzzy linguistic approach, intuitionistic fuzzy sets, q-rung orthopair fuzzy sets, hesitant fuzzy sets, hesitant fuzzy linguistic term sets, type 2 fuzzy sets, etc., as well as a wide range of tools, operations and decision models to cope with decision problems under uncertainty. Nevertheless, the emergence of new challenges continually requires the development of novel mathematical foundations and decision models to address sustainability policy-making problems under uncertainty. Therefore, this special session aims at providing an opportunity for researchers working in DM under uncertainty and its application to sustainability to discuss and share their new ideas, advances, original research results and practical experiences.

The topics of interest include, but are not limited to:

  • Multi-Criteria group decision-making models for sustainability problems
  • Choice, Ranking and Sorting processes in multi-criteria decision making under uncertainty for sustainability problems
  • Data-driven decision-making for sustainability
  • Policy-making for sustainability
  • Consensus models applied for sustainability
  • Decision Support Systems dealing with large scale decisions for sustainability problems such as, climate change, renewal energies, circular economy, etc.

Important Dates

June 30, 2023  July 31, 2023

Full paper submission

July 31, 2023  August 31, 2023

Acceptance notification

Sept. 30, 2023 October 30, 2023

Camera-ready paper submission

Paper Submission

The authors are required to submit their papers to a Special Session following the steps below:

Submission by IEEE ISKE 2023 EasyChair Account selecting the name or the number of the Special Session.

 https://easychair.org/my/conference?conf=iske2023

Session Chairs

Rosa M. Rodríguez, Álvaro Labella, Luis Martínez

Contact Us

  • Rosa M. Rodríguez
  • Computer Science Department
    University of Jaén
  • Email: rmrodrig@ujaen.es
  • Tel.: +34 953212155



  • Álvaro Labella
  • Computer Science Department
    University of Jaén
  • Email:alabella@ujaen.es
  • Tel.: +34 953213017



  • Luis Martínez
  • Computer Science Department
    University of Jaén
  • Email: martin@ujaen.es
  • Tel.: +34 953211902