Article
Green & Sustainable Science & Technology
Francesco Tajani, Maria Rosaria Guarini, Francesco Sica, Rossana Ranieri, Debora Anelli
Summary: This article introduces a method for calculating sustainability indices in urban planning, using the Choquet integral as an aggregation model to consider the relationships between different dimensions of sustainability. The research results show that the comprehensive evaluation results using the Choquet integral can better reflect the balance between different dimensions.
Article
Social Sciences, Interdisciplinary
Mehmet Pinar
Summary: This paper introduces the use of Choquet integrals to account for potential interactions across dimensions in composite well-being and sustainability indices, using the HDI as an example. Theoretical and empirical studies suggest positive interactions among the three HDI dimensions, and Choquet integral is shown to detect unbalanced achievements across dimensions.
SOCIAL INDICATORS RESEARCH
(2022)
Article
Management
Fatine Ezbakhe, Agusti Perez-Foguet
Summary: This study aims to simplify the incorporation of uncertainty in the scoring of alternatives in Multi-Criteria Decision Analysis processes. The authors present a modified ELECTRE III model and apply it to evaluate renewable energy resources for Turkey, with wind energy identified as the best alternative followed by solar energy.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Eleftherios Siskos, Peter Burgherr
Summary: This paper proposes a comprehensive multicriteria decision support methodological framework to evaluate the electricity supply resilience of European countries. The framework evaluates and ranks 35 European countries based on their performance on 17 interacting evaluation criteria. The Choquet Integral and Simos method are used in synergy to provide guidance and areas for improvement for energy policymakers.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Marine
Alexey Cherepovitsyn, Evgeniya Rutenko, Victoria Solovyova
Summary: The study aims to develop a rational system of environmental, socio-economic, and innovative indicators for the sustainable development of the Arctic's unique hydrocarbon reserves based on the principles of sustainable development. Drawing upon the foundations of the sustainable development concept and modern evaluation methods, the research analyzes conceptual approaches to sustainable development in reference to oil and gas resources, defines target priorities for the Arctic's resource potential, and identifies the relationship between environmental, socio-economic, and innovative domains in the context of Arctic resource development.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Nazanin Maleki, Mohammad Reza Gholamian, Saeed Yaghoubi
Summary: Decision-making is an important and inevitable issue in real-world problems. Traditional linear aggregation techniques cannot take into account the interactions and correlations between decision criteria. Nonadditive aggregation methods have attracted the attention of researchers in such cases. This study proposes a novel model based on the best-worst method (BWM) and the multi-criteria fuzzy Choquet integral technique to incorporate the interaction between criteria.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2022)
Article
Management
Yasmim Maia Pederneiras, Miguel Alves Pereira, Jose Rui Figueira
Summary: The harmonious interaction between humans and the biosphere is crucial for sustainable existence and coexistence. However, sustainability is compromised when faced with social challenges, particularly in the area of health. Understanding the sustainability of health services, especially hospitals that consume significant resources, is essential for a sustainable future.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Thi Bich Ha Nghiem, Ta-Chung Chu
Summary: This study developed an AHP-based ELECTRE I method to evaluate sustainable conceptual designs, with a two-level hierarchical structure and weight calculation to depict relationships between criteria and sub-criteria. The extension of the method proposed provides a more distinguishable ranking for alternative designs and captures more information in aggregating values, offering advantages over other methods.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2021)
Article
Mathematics
Alberto Romero-Ania, Lourdes Rivero Gutierrez, Maria Auxiliadora De Vicente Oliva
Summary: This study proposes a method to determine the acceptability of urban public transport vehicles through a multi-criteria decision model, taking into consideration strict economic and environmental requirements.
Article
Green & Sustainable Science & Technology
Slavisa Dumnic, Katarina Mostarac, Milena Ninovic, Bojan Jovanovic, Sandra Buhmiler
Summary: Personnel selection is crucial in human resource management, and fuzzy decision-making methods have gained popularity due to their ability to handle uncertainty. The Choquet integral, a commonly used aggregation operator, allows for consideration of interdependencies between criteria. This paper utilized the Choquet integral based on fuzzy measures for personnel selection.
Article
Environmental Sciences
Chenyang Shuai, Long Yu, Xi Chen, Bu Zhao, Shen Qu, Ji Zhu, Jianguo Liu, Shelie A. Miller, Ming Xu
Summary: The study identifies 147 principal SDG indicators that can represent the majority of SDG indicators' variations with relatively low data collection difficulty, guiding future investment in data infrastructure and global comparisons.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Computer Science, Theory & Methods
Paul Alain Kaldjob Kaldjob, Brice Mayag, Denis Bouyssou
Summary: Using a Choquet integral model for multiple criteria decision making involves assessing a capacity based on a decision-maker's preferences among alternatives. The elicited capacity is often not unique, making the interpretation of classic indices complicated. We propose conditions for representing preferences expressed on binary alternatives with a Choquet integral model and show that a negative interaction in a group is never necessary. Additionally, we introduce a linear programming model for testing the stability of the interaction index with different capacities compatible with the decision-maker's preferences.
FUZZY SETS AND SYSTEMS
(2023)
Article
Operations Research & Management Science
Arayeh Afsordegan, Luis Del Vasto-Terrientes, Aida Valls, Nuria Agell, Monica Sanchez
Summary: This paper studies the problem of finding suitable sites for wind farms in Catalonia, Spain, and proposes the ELECTRE-III-H hierarchical multi-criteria analysis method as a solution. The method can effectively represent and manage the overall influence of various criteria on the global result.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Shabnam Rahnamay Bonab, Saeid Jafarzadeh Ghoushchi, Muhammet Deveci, Gholamreza Haseli
Summary: Autonomous vehicles (AVs) have significant importance and challenges in the logistics industry. This study proposes an extended multi-criteria decision-making framework for assessing AVs and compares the results with other models to confirm their efficiency and stability.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Avinandan Banerjee, Sayantan Roy, Rohit Kundu, Pawan Kumar Singh, Vikrant Bhateja, Ram Sarkar
Summary: This study utilizes Convolutional neural network based on DenseNet 201 architecture for still-image based human action recognition. A spatial attention module is trained as a feature extractor to emphasize features from selective parts of the image. Additionally, an effective ensemble approach based on fuzzy fusion through the Choquet integral is used, harnessing the complementary uncertainty of decision scores for robust decision-making.
NEURAL COMPUTING & APPLICATIONS
(2022)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
