Article
Computer Science, Interdisciplinary Applications
Baohua Yang, Jinshuai Zhao, Haidan Zhao
Summary: The ability to obtain robust ranking results is crucial when choosing a method for multiple criteria decision-making (MCDM). However, the rank reversal phenomenon in MCDM, particularly in the technique for order preference by similarity to ideal solution (TOPSIS), compromises its credibility. Although some research papers have proposed solutions to minimize or avoid rank reversal in TOPSIS, there are still gaps that require further investigation. These gaps include the inability to completely eliminate rank reversal, the need for more decision information, and the lack of theoretical guarantees for ranking stability. To address these issues, an improved TOPSIS method, named IE-TOPSIS, is developed based on information expansion and virtual ideal points. The IE-TOPSIS method effectively avoids the influence of data standardization on ranking by constructing an algorithm for the extreme value extension of criteria indicators. Additionally, the concept of a virtual ideal point is proposed to prevent rank reversal caused by changes in ideal points. The paper proves that the IE-TOPSIS method satisfies the given definition of ranking robustness, theoretically guaranteeing the absence of rank reversal. The paper also proposes a new ranking index that better distinguishes evaluation objects and solves the limitations of the classic TOPSIS ranking index. The results of example verification demonstrate that the improved TOPSIS method aligns strongly with theoretical analysis and effectively handles rank reversal in comparison to other studies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Won-Chol Yang, Chol-Min Choe, Jin-Sim Kim, Myong-Song Om, Un-Ha Kim
Summary: TOPSIS is a well-known multi attribute decision making method used in materials selection. However, it has a rank reversal phenomenon. In this study, we propose an improved TOPSIS method without rank reversal and apply it to the selection of absorbent layer material for thin film solar cells.
MATERIALS RESEARCH EXPRESS
(2022)
Article
Computer Science, Artificial Intelligence
Adil Baykasoglu, Elif Ercan
Summary: The paper examines the rank reversal problem in MADM methods, focusing on the WASPAS method. Computational experiments show that traditional normalization techniques lead to rank reversal problems in WASPAS, but using modified normalization techniques can mitigate this issue.
Article
Engineering, Multidisciplinary
Won-Chol Yang, Son-Hak Chon, Chol-Min Choe, Ji-Yon Yang
Summary: This paper proposes a method to select reasonable normalization methods and determine the best optimal material combined with individual results from TOPSIS and popular normalization methods. Performance scores based on entropy and variation coefficient are introduced to evaluate the performance of normalization methods. The final rank index of alternative material is proposed to decide the final result of materials selection, and the effectiveness of the methods is verified through applying TOPSIS with popular normalization methods.
ENGINEERING RESEARCH EXPRESS
(2021)
Article
Management
Xianliang Liu, Yonghao Ma
Summary: This paper focuses on analyzing and predicting rank reversal in the ELECTRE II method. New concepts are proposed to simplify the analysis of rank reversal, revealing the reasons behind it and proposing necessary and sufficient conditions for its occurrence. The methods proposed in this paper are also valid for analyzing rank reversal in the ELECTRE method with discriminating thresholds.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Rohit Kumar Tiwari, Rakesh Kumar
Summary: This paper introduces a robust rank reversal technique based on Gaussian distribution and TOPSIS method for developing a cloud service selection framework. A case study validates the effectiveness and correctness of the proposed framework.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Salvatore Corrente, Menelaos Tasiou
Summary: This paper introduces an extension of TOPSIS method by introducing a normalization technique based on simulations to consider non-monotonic preferences and qualitative criteria, and integrating Multiple Criteria Hierarchy Process. The new method also uses Stochastic Multicriteria Acceptability Analysis to address robustness concerns.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Mengji Xu, Akshay Rangamani, Qianli Liao, Tomer Galanti, Tomaso Poggio
Summary: This article provides an overview of several properties, old and new, of training overparameterized deep networks under the square loss. It discusses the dynamics of gradient flow, convergence to a solution, norm-based bounds, bias toward low-rank weight matrices, stochastic gradient descent noise, neural collapse, and the advantage of deep networks for sparse target functions in problems appropriate for convolutional neural networks.
Article
Computer Science, Information Systems
Yangxue Li, Danilo Pelusi, Yong Deng, Kang Hao Cheong
Summary: Real-world information is uncertain and partially reliable, leading to the introduction of Z-numbers by Zadeh for modeling such information. Handling Z-number-based information has been challenging, similar to probability theory. In this work, a method for developing the concept of relative entropy of Z-numbers is proposed, leading to the construction of a novel Technique for Order of Preference by Similarity to Ideal Solution based on Z-numbers (ZTOPSIS) which directly calculates Z-numbers. A case study on supplier selection demonstrates the effectiveness of the proposed Z-TOPSIS method.
INFORMATION SCIENCES
(2021)
Article
Biology
Joshua Stevenson, Barbara Holland, Michael Charleston, Jeremy Sumner
Summary: The algebraic properties of flattenings and subflattenings can be used to identify edges in the true phylogeny and complete tree using pattern counts from sequence alignment. This method is attractive due to the relatively small number of possible internal edges among a set of taxa. However, more evaluation is needed for their effectiveness in inferring phylogenetic trees, especially for subflattenings.
BULLETIN OF MATHEMATICAL BIOLOGY
(2023)
Article
Biochemical Research Methods
Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N. Robinson, Zhiyong Lu
Summary: The study proposed a hybrid method of combining dictionary and machine learning approaches to automatically recognize phenotype concepts in unstructured biomedical text, achieving improved performance compared to previous methods. By using concepts and synonyms from HPO to construct a dictionary and create a distantly supervised training dataset for machine learning, along with training a cutting-edge deep learning model, the method successfully classified candidate phrases into concept labels. Experiments on HPO and MEDIC datasets demonstrated competitive performance without requiring manually annotated training data.
Article
Environmental Sciences
Hong Lin, Tianhong Pan, Shan Chen
Summary: A new multi-pollutant weighted comprehensive air quality assessment method is proposed, which combines the relative entropy theory and improved iTOPSIS method, to provide important information for managers to control air pollution effectively.
AIR QUALITY ATMOSPHERE AND HEALTH
(2021)
Article
Operations Research & Management Science
V Liern, B. Perez-Gladish
Summary: The technique for order preference by similarity to ideal solution (TOPSIS) is a widely used ranking method that provides a composite index to evaluate the relative proximity of each decision alternative to an ideal solution. In this work, a new TOPSIS approach is proposed where weights are handled as decision variables in optimization problems, allowing for flexibility and practicality when determining subjective precise weights. This method can be useful in decision situations where the determination of precise weights from decision makers is problematic.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Chemistry, Medicinal
Solmaz Azimi, Sheenam Khuttan, Joe Z. Wu, Rajat K. Pal, Emilio Gallicchio
Summary: We propose an extension of the alchemical transfer method (ATM) called ATM-RBFE for estimating relative binding free energies of molecular complexes. The method is implemented in the OpenMM molecular simulation package and aims to provide a simpler and more generally applicable route to the calculation of relative binding free energies. The method is validated against benchmark sets and yields consistent and converged estimates in agreement with reference values and experimental measurements.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2022)
Article
Engineering, Electrical & Electronic
Hanzeyu Xu, Yuyu Zhou, Yuchun Wei, Chong Liu, Xiao Li, Wei Chen
Summary: In this study, a novel RRN method was proposed to enhance the radiometric consistency of Landsat time-series images by trend-based PIFs identification, PIFs optimization, and combined RRN modeling. The experimental results showed that the proposed method achieved good performance in model precision and radiance consistency improvement, outperforming seven commonly used RRN methods.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Green & Sustainable Science & Technology
Guido C. Guerrero-Liquet, Santiago Oviedo-Casado, J. M. Sanchez-Lozano, M. Socorro Garcia-Cascales, Javier Prior, Antonio Urbina
Article
Chemistry, Multidisciplinary
Alvaro Rubio-Aliaga, Angel Molina-Garcia, M. Socorro Garcia-Cascales, Juan Miguel Sanchez-Lozano
APPLIED SCIENCES-BASEL
(2019)
Review
Engineering, Marine
Isabel C. Gil-Garcia, M. Socorro Garcia-Cascales, Ana Fernandez-Guillamon, Angel Molina-Garcia
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2019)
Article
Energy & Fuels
Ikram Merini, Angel Molina-Garcia, M. Socorro Garcia-Cascales, Mustapha Mahdaoui, Mohamed Ahachad
Article
Green & Sustainable Science & Technology
Isabel C. Gil-Garcia, Ma Socorro Garcia-Cascales, Habib Dagher, Angel Molina-Garcia
Summary: This paper examines the feasibility of mitigating climate change and promoting energy transition through the integration of electric vehicles and renewable energy sources, combining a multi-indicator analysis to estimate the required penetration of renewable energy in achieving emission reduction targets under different scenarios. The study suggests that various combinations of available renewable resources can significantly reduce emissions.
Article
Energy & Fuels
Adela Ramos-Escudero, M. Socorro Garcia-Cascales, Javier F. Urchueguia
Summary: In order to promote the use of shallow geothermal energy, a GIS-based methodology was developed to estimate the resource, energy, economic and environmental potential at a regional scale. The focus was on closed-loop borehole heat exchanger systems in the Region of Murcia, Spain, considering thermal properties, water saturation grade, climate and building characteristics. The results included insight into thermal energy extraction, technical potential, cost of installation and production, and GHG emissions savings.
Article
Energy & Fuels
Agustin Sanchez-del Rey, Isabel Cristina Gil-Garcia, Maria Socorro Garcia-Cascales, Angel Molina-Garcia
Summary: This study analyzes and compares online wind data sources and their integration with GIS tools for wind resource assessment. The review and comparison of wind-atlas databases reduce barriers to accessing wind data and integrating with GIS tools.
Review
Energy & Fuels
Isabel C. Gil-Garcia, Ana Fernandez-Guillamon, M. Socorro Garcia-Cascales, Angel Molina-Garcia
Summary: This paper reviews different repowering strategies in wind power plants, emphasizing the importance of considering factors such as technical, economic, environmental, social, and political aspects. It reveals that more than 90% of the reviewed contributions focus on onshore wind power plant repowering actions, with Germany having a major number of contributions. Offshore repowering strategies are found to include a multifactorial analysis, in contrast to onshore strategies where only 68% of authors carry out such analysis. The revised methodologies and categorization of factors can be a useful tool for the repowering market in the future.
Article
Energy & Fuels
M. S. Garcia-Cascales, A. Molina-Garcia, J. M. Sanchez-Lozano, A. Mateo-Aroca, N. Munier
Summary: This paper focuses on the main challenge of groundwater pumping solutions in reducing fossil fuel dependence and integrating renewables, while also considering sustainability criteria. Through analyzing and comparing different Multi-Criteria Decision Analysis methods, the relevance of subjective criteria weights is highlighted.
Article
Mathematics
Jose M. Olmos-Noguera, Eduardo J. Renard-Julian, Maria Socorro Garcia-Cascales
Summary: This paper presents research work on an innovative didactic proposal for the study of 3D metric geometry. The proposal follows the Didactic Situations Theory and the Anthropological Theory of the Didactic, aiming to change the traditional approach of mathematics education and promote student-centered learning through interaction between students, teachers, and the learning environment.
Article
Energy & Fuels
Isabel Cristina Gil-Garcia, Maria Socorro Garcia-Cascales, Angel Molina-Garcia
Summary: The climate emergency has led to an increased demand for electricity generation from renewable energies in urban areas. Small-scale wind power, especially on high-rise buildings, offers new opportunities for decentralized electricity production. This study presents a methodology for determining the annual energy production of urban wind projects and evaluates its feasibility in a Spanish case study, showing an investment recovery period of less than six years.
Article
Energy & Fuels
Adela Ramos-Escudero, Maria del Socorro Garcia-Cascales
Summary: Shallow geothermal energy extracted through ground source heat pumps has been proven to be a clean and profitable technology. However, the market for this technology varies in maturity levels across different regions and countries. This study compared the deployment of this technology in the Murcia region of Spain and Germany, and identified the lack of specific regulations and regional administrative support as the main barriers for its deployment in Southern Spain.
Article
Computer Science, Interdisciplinary Applications
Isabel C. Gil-Garcia, Ana Fernandez-Guillamon, M. Socorro Garcia-Cascales, Angel Molina-Garcia
Summary: Traditional face-to-face learning is being replaced or combined by virtual and digital campuses, with a variety of online activities such as H5P becoming more interactive and creative teaching strategies. A comparison between traditional online and interactive H5P activities was conducted, showing that while there was no significant improvement in average grades, students found the interactive H5P activity easier to do and felt more motivated. Teachers also noted positive effects on student participation and motivation. These results highlight the importance of incorporating digital methods alongside traditional approaches to meet the diverse needs of students.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
(2023)
Article
Green & Sustainable Science & Technology
Isabel C. Gil-Garcia, Adela Ramos-Escudero, M. S. Garcia-Cascales, Habib Dagher, A. Molina-Garcia
Summary: This paper presents a multi-criterion decision-making approach for optimal off-shore wind location assessment by integrating fuzzy geographical information systems. The methodology involves prioritizing different locations and alternatives through an analytic hierarchy process and comparing with a fuzzy geographical information system solution. A case study in the Gulf of Maine includes a statistical evaluation of wind resources and a design proposal for a 1 GW offshore wind power plant using a variable speed wind turbine prototype.
Proceedings Paper
Engineering, Electrical & Electronic
Adela Ramos-Escudero, Isabel C. Gil-Garcia, M. Socorro Garcia-Cascales, Angel Molina-Garcia
2020 20TH IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2020 4TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE)
(2020)
