An ideal plastic waste management system based on an enhanced MCDM technique

Abstract

The Fermatean probabilistic hesitant fuzzy set (FPHFS) concept is a method that combines Fermatean fuzzy sets and PHFS to provide detailed MCDM problem solutions. The management of solid waste is facing challenges in disposing of environmentally harmful plastic products. The study primarily focuses on plastic waste from the packaging industry, as it is the primary contributor to overall waste generation. The packaging sector has proposed a concept for the recycling of waste at various levels. This study aims to assess the effectiveness of the hybrid analytic hierarchy process and the combinative distance-based assessment (AHP-CODAS) method FPHFS in determining the most suitable plastic waste collection system. The AHP analysis identified the most effective methods for collecting plastic waste for recycling, emphasizing successful segregation for efficient recycling. A deposit and refund system promotes waste collection and a circular economy by facilitating efficient waste management. The research offers valuable insights into selecting packaging waste collection (PWC) technology in uncertain environments and enhances decision-making methods in the field.

Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering

“…Resource constraints (F42): Resource constraints involve planning and allocating limited resources to meet project objectives within budget limits. Understanding resource constraints helps identify potential bottlenecks, optimize resource use, and ensure project success while maintaining financial stability [19,20,44,49].…”

“…Compliance monitoring (F62): Compliance monitoring ensures adherence to regulatory standards, reducing legal risks and preventing penalties, thereby maintaining budget integrity. It allows for the timely identification and resolution of non-compliance issues, promoting project success while upholding legal and ethical standards [3,24,48,49].…”

“…User interface (F72): A user-friendly interface promotes ease of use, reduces training time, and encourages the effective utilization of cost management software among stakeholders. An intuitive interface streamlines data entry, analysis, and reporting, leading to informed decision-making and optimal cost management practices within the project's budget [41][42][43][44]48,49].…”

“…The social implications cover broader issues like job displacement, inequality, and autonomy concerns due to AI's adoption. Ethical AI frameworks, guidelines, and governance mechanisms are crucial for managing risks, fostering trust, and promoting ethical practices in civil engineering projects [43,45,47,49].…”

“…• Equity and fairness (F81): Equity and fairness ensure transparent decisionmaking, foster stakeholder trust, and reduce potential conflicts. Emphasizing these values in cost management encourages accountability and stakeholder participation and supports the social responsibility of civil engineering projects [45,46,49].…”