Special Issue Title: Computational decision-making techniques for sustainable waste management

Guest Editorial Team:
Dr. Totan Garai (Lead Guest Editor)
Affiliation: Department of Mathematics, Syamsundar College (The University of Burdwan), Syamsundar, Purba Barddhaman, West Bengal-713515, India
Email: garaitotan@gmail.com

Prof. Cengiz Kahraman
Affiliation: Department of Industrial Engineering, Istanbul Technical University,
Macka, Besiktas, Istanbul 34367, Turkey
Email: kahramanc@itu.edu.tr

Prof. Selcuk Cebi
Affiliation: Industrial Engineering at Yildiz Technical University Barbaros Bulvarı 34349, İSTANBUL, Turkey
Email: scebi@yildiz.edu.tr

Dr. Xiaohong Pan
Affiliation: School of Business, Qingdao University,
Shandong, 266071, PR China.
Email: xiaohongpan0303@126.com

Special Issue Information

Decision-making techniques are essential to managing practical problems because they affect an organization's performance according to all relevant aspects. Reducing environmental damage, protecting human health, and encouraging resource conservation all depend on effective waste management. Industrial, Biomedical, Municipal and agricultural waste pollute the air, water, and soil. Sustainable waste management is essential for our planet's peaceful future and reduces environmental impact. Techniques for managing waste are complicated due to many levels of decision-making. Decision-making in waste management is significant for a methodical strategy of managing garbage with an economical and ecological responsibility. Fuzzy decision-making presently deals with various types of uncertainty concerning management problems. Numerous factors, including the waste production rate, the location for disposal, the cost of treatment, human ambiguity, inconsistencies and their interactions, can be uncertain in waste management systems. Also, there is a lack of complete knowledge or predictability regarding waste volume, composition, and disposal needs. So, decision-making in an uncertain environment is more suitable for finding a sustainable waste management system.

The special issue aims to advance decision-making techniques (Metaheuristic, Algorithmic, Automated, Fuzzy, Artificial Intelligence, etc.) in sustainable waste management under fuzzy; methodologies and applications of this issue are described in the table below.

Methodologies:

  • Metaheuristic Optimization Algorithms;
  • Algorithmic decision-making;
  • Artificial Intelligence based decision making;
  • Automated decision-making;
  • Fuzzy Decision Making Techniques;
  • Interpretable Fuzzy Decision-Making;
  • Type-2 Fuzzy Decision-Making;
  • Fuzzy optimization method;
  • Decision Analysis;
  • Decision Support System;
  • Multi-Criteria Decision Making;
  • Multi-Attribute Decision Making;
  • Multi-Criteria Group Decision Making;
  • Cost-Benefit Analysis;
  • Group Decision-Making Techniques;
  • Fuzzy Logic.

Application:

  • Industrial Waste Management’s;
  • Municipal Solid Waste Management’s;
  • Medical Waste Management’s;
  • Commercial Waste Management’s;
  • Construction and Demolition Waste Management’s;
  • Residential Waste Management’s;
  • Electronic Waste Management’s;
  • Agricultural Waste Management’s;
  • Food waste Management’s;
  • Commingled Waste management.

This special issue encourages researchers to develop advanced decision-making challenges in sustainable waste management systems under uncertain environments. Progressive decision-making is the systematic approach to sustainable waste management and maintaining affordability and environmental consciousness.

Objective: 

  • Collecting advanced decision-making techniques based on algorithms, artificial intelligence, metaheuristics, fuzzy, type-2 fuzzy, fuzzy logic, interpretable fuzzy, etc.
  • Advanced decision-making (Metaheuristic, Algorithmic, Artificial Intelligence, Fuzzy, Interpretable Fuzzy, Type-2 Fuzzy, Fuzzy Logic, etc.) techniques for Waste Management.
  • This issue demand finding a sustainable waste management system in an uncertain environment. 

Keywords: Fuzzy Decision Making; Metaheuristic Decision Making; Algorithmic Decision Making;    Waste Management; Uncertain Environments

Tentative Dates:
•    Submission Open Date: Jun 03, 2025
•    Submission Deadline: December 31, 2025

Submission Guidelines:
Authors wishing to submit papers for this special issue should prepare their manuscripts according to the author guidelines provided on the International Journal of Economic Sciences website. Submissions must be original and not under consideration elsewhere during the evaluation process.

All papers should be submitted under the section "Computational decision-making techniques for sustainable waste management".

For more information about the Decision Making Advances, including details on the submission process, visit: https://www.dma-journal.org/index.php/dema/about/submissions