Abstract

A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimisation methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers, and, after a rigorous peer-review process, eight papers have been published in the current special issue. The articles in this issue demonstrate how solutions in civil engineering, which bring economic, social and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. The methods and application case studies are shortly described further in the editorial.

Highlights

  • A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance

  • Real-world decision problems are usually solved by applying a multi-criteria decision making (MCDM) framework, which means that decisions are constructed by considering multiple criteria or points of view and taking them into account

  • The evolution of the MCDM methods has been directed to take into account the uncertainty of the initial information

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Summary

Introduction

A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. The MCDM method review, performed by Mardani et al [1], distinguished 15 fields of real-world problems: Energy, environment and sustainability, supply chain management, material selection, quality management, geographic information systems, construction and project management, safety and risk management, manufacturing systems, technology and information management, operations research and soft computing, strategic management, production management, and tourism management. Due to the different application areas, modern decision-making solutions quite frequently include linguistic valuations of the different aspects of the considered alternatives This information type is characterised by not-strictly-defined meanings. Considerable research concerning decision-making has been performed by applying neural networks, fuzzy logic, and interval numbers The success of these approaches relies on the fact that all these methods are derived through utilising the appropriate symmetries. The distinctive features of the application of hesitant fuzzy and single-valued neutrosophic sets are taken into consideration in [21,22]

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