Using the TOSS method in semi-autonomous passenger car selection

[1]  N. Ehsan,et al.  Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list - A novel multi-criteria decision-making approach , 2023, Decision Making: Applications in Management and Engineering.

[2]  Mouhamed Bayane Bouraima,et al.  Integrated intelligent decision support model for ranking regional transport infrastructure programmes based on performance assessment , 2023, Expert Syst. Appl..

[3]  A. A. Zaidan,et al.  Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model , 2023, Appl. Soft Comput..

[4]  J. Wątróbski,et al.  Complex sensitivity analysis in Multi-Criteria Decision Analysis: An application to the selection of an electric car , 2023, Journal of Cleaner Production.

[5]  Jessica B. Cicchino,et al.  Consumer demand for partial driving automation and hands-free driving capability. , 2022, Journal of Safety Research.

[6]  M. Kirişci New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach , 2022, Knowledge and Information Systems.

[7]  R. Król,et al.  Green electricity generation assessment using the CODAS-COMET method , 2022, Ecological Indicators.

[8]  J. Wątróbski,et al.  New multi-criteria method for evaluation of sustainable RES management , 2022, Applied Energy.

[9]  C. Karmaker,et al.  An integrated Principal Component Analysis and Interpretive Structural Modeling approach for electric vehicle adoption decisions in sustainable transportation systems , 2022, Decision Analytics Journal.

[10]  D. Pamučar,et al.  A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms , 2022, Technological Forecasting and Social Change.

[11]  Like Jiang,et al.  City readiness for connected and autonomous vehicles: A multi-stakeholder and multi-criteria analysis through analytic hierarchy process , 2022, Transport Policy.

[12]  J. Wątróbski,et al.  Version [1.1]-[pyrepo-mcda - Reference Objects based MCDA Software Package] , 2022, SoftwareX.

[13]  Jessica B. Cicchino Effects of automatic emergency braking systems on pedestrian crash risk. , 2022, Accident; analysis and prevention.

[14]  J. Wątróbski,et al.  Sustainable cities and communities assessment using the DARIA-TOPSIS method , 2022, Sustainable Cities and Society.

[15]  Anjali Naithani,et al.  Significance of TOPSIS approach to MADM in computing exponential divergence measures for pythagorean fuzzy sets , 2022, Decision Making: Applications in Management and Engineering.

[16]  İhsan Kaya,et al.  Evaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variables , 2021, Appl. Soft Comput..

[17]  Yimin Su,et al.  Integrated Framework for Test and Evaluation of Autonomous Vehicles , 2021, Journal of Shanghai Jiaotong University (Science).

[18]  Onur Toker,et al.  An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions , 2021, Sensors.

[19]  Jack Stilgoe,et al.  How can we know a self-driving car is safe? , 2021, Ethics and Information Technology.

[20]  Krishnendu Shaw,et al.  Modelling a sustainable credit score system (SCSS) using BWM and fuzzy TOPSIS , 2021, International Journal of Sustainable Development & World Ecology.

[21]  D. Iribarren,et al.  Comparative life cycle assessment of hydrogen-fuelled passenger cars , 2021 .

[22]  Subhasis Giri Water quality prospective in Twenty First Century: Status of water quality in major river basins, contemporary strategies and impediments: A review. , 2020, Environmental pollution.

[23]  Sheng Liu,et al.  Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review , 2020 .

[24]  Rezvan Ehsani,et al.  Robust Distance Measures for kNN Classification of Cancer Data , 2020, Cancer informatics.

[25]  Fatih Ecer,et al.  Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model , 2020 .

[26]  D. P. Vuuren,et al.  Life cycle environmental and cost comparison of current and future passenger cars under different energy scenarios , 2020, Applied Energy.

[27]  Cengiz Kahraman,et al.  A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method , 2019, Soft Computing.

[28]  H. Hettiarachchi,et al.  Collective Action in Waste Management: A Comparative Study of Recycling and Recovery Initiatives from Brazil, Indonesia, and Nigeria Using the Institutional Analysis and Development Framework , 2020, Recycling.

[29]  Prasenjit Chatterjee,et al.  Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS) , 2020, Comput. Ind. Eng..

[30]  Jason Papathanasiou,et al.  A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments , 2019, Fuzzy Sets Syst..

[31]  Zahid Hussian,et al.  Distance and similarity measures of Pythagorean fuzzy sets based on the Hausdorff metric with application to fuzzy TOPSIS , 2019, Int. J. Intell. Syst..

[32]  F. Zhao,et al.  Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation , 2019, Energy Policy.

[33]  Italo Meroni,et al.  A review of performance of zero energy buildings and energy efficiency solutions , 2019, Journal of Building Engineering.

[34]  Donghai Liu,et al.  Distance measure for Fermatean fuzzy linguistic term sets based on linguistic scale function: An illustration of the TODIM and TOPSIS methods , 2019, Int. J. Intell. Syst..

[35]  J. Cooper Solid Waste Management in Copenhagen , 2019, The Challenge of Environmental Management in Urban Areas.

[36]  Melike Erdogan,et al.  Risk Analysis of the Autonomous Vehicle Driving Systems by Using Pythagorean Fuzzy AHP , 2019, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making.

[37]  J. Bandeira,et al.  Assessing the emission impacts of autonomous vehicles on metropolitan freeways , 2019, Transportation Research Procedia.

[38]  Jin Cui,et al.  A review on safety failures, security attacks, and available countermeasures for autonomous vehicles , 2019, Ad Hoc Networks.

[39]  Paweł Ziemba,et al.  Towards Strong Sustainability Management—A Generalized PROSA Method , 2019, Sustainability.

[40]  Harpa Birgisdottir,et al.  Categorizing Building Certification Systems According to the Definition of Sustainable Building , 2019, IOP Conference Series: Materials Science and Engineering.

[41]  Jarosław Jankowski,et al.  An Index to Measure the Sustainable Information Society: The Polish Households Case , 2018, Sustainability.

[42]  Steven E. Shladover,et al.  Connected and automated vehicle systems: Introduction and overview , 2018, J. Intell. Transp. Syst..

[43]  M. Bottero,et al.  Assessing urban quality: a proposal for a MCDA evaluation framework , 2018, Ann. Oper. Res..

[44]  Jarosław Wątróbski,et al.  Using the PROSA Method in Offshore Wind Farm Location Problems , 2017 .

[45]  Artur Karczmarczyk,et al.  Sustainable decision-making using the COMET method: An empirical study of the ammonium nitrate transport management , 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

[46]  Kitae Jang,et al.  Toward a solar city: Trade-offs between on-site solar energy potential and vehicle energy consumption in San Francisco, California , 2017 .

[47]  Marcelo H. Ang,et al.  Perception, Planning, Control, and Coordination for Autonomous Vehicles , 2017 .

[48]  M. Jong,et al.  Financing Sino-Singapore Tianjin Eco-City: What Lessons Can Be Drawn for Other Large-Scale Sustainable City-Projects? , 2017 .

[49]  Philip Koopman,et al.  Autonomous Vehicle Safety: An Interdisciplinary Challenge , 2017, IEEE Intelligent Transportation Systems Magazine.

[50]  Nidhi Kalra,et al.  Driving to Safety , 2016 .

[51]  Li Li,et al.  Intelligence Testing for Autonomous Vehicles: A New Approach , 2016, IEEE Transactions on Intelligent Vehicles.

[52]  Yannick Kieffel,et al.  Green Gas to Replace SF6 in Electrical Grids , 2016, IEEE Power and Energy Magazine.

[53]  José Baltazar Salgueirinho Osório de Andrade Guerra,et al.  Reprint of: The adoption of strategies for sustainable cities: a comparative study between Newcastle and Florianópolis focused on urban mobility , 2016 .

[54]  Jesús Cuadrado,et al.  Sustainability-Related Decision Making in Industrial Buildings: An AHP Analysis , 2015 .

[55]  S. Bonsall,et al.  A TOPSIS method for vehicle route selection in seaports — A real case analysis of a container terminal in North West Europe , 2015, 2015 International Conference on Transportation Information and Safety (ICTIS).

[56]  Tao Mei,et al.  A Multiple Attribute-based Decision Making model for autonomous vehicle in urban environment , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[57]  Maria Harrestrup,et al.  Heat planning for fossil-fuel-free district heating areas with extensive end-use heat savings: A case study of the Copenhagen district heating area in Denmark , 2014 .

[58]  R. Reis,et al.  Perceived environment and public open space use: a study with adults from Curitiba, Brazil , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[59]  R. Langari,et al.  Adaptive Analytic Hierarchy Process-Based Decision Making to Enhance Vehicle Autonomy , 2012, IEEE Transactions on Vehicular Technology.

[60]  Rosaldo J. F. Rossetti,et al.  An integrated architecture for autonomous vehicles simulation , 2012, SAC '12.

[61]  Ching-Hui Chang,et al.  Domestic open-end equity mutual fund performance evaluation using extended TOPSIS method with different distance approaches , 2010, Expert Syst. Appl..

[62]  Shabbir H. Gheewala,et al.  Life cycle assessment of fuel ethanol from cane molasses in Thailand , 2008 .

[63]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[64]  T. Litman,et al.  Issues in sustainable transportation , 2006 .

[65]  Manfred Broy,et al.  Challenges in automotive software engineering , 2006, ICSE.

[66]  David L. Olson,et al.  Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..

[67]  Massimo Bertozzi,et al.  Autonomous Vehicles , 1999 .

[68]  John Elkington,et al.  ACCOUNTING FOR THE TRIPLE BOTTOM LINE , 1998 .

[69]  G. Mavrotas,et al.  Determining objective weights in multiple criteria problems: The critic method , 1995, Comput. Oper. Res..

[70]  Takeo Kanade,et al.  Vision and Navigation for the Carnegie-Mellon Navlab , 1987 .

[71]  Darko Božanić,et al.  Development of the MCDM fuzzy LMAW-grey MARCOS model for selection of a dump truck , 2023, Reports in Mechanical Engineering.

[72]  K. Ullah,et al.  Multi-attribute decision-making using Archimedean aggregation operator in T-spherical fuzzy environment , 2023, Reports in Mechanical Engineering.

[73]  F. Paker Evaluation of Lean Product Development Stages of Autonomous Vehicle Technologies with AHP Method , 2022, Journal of Transportation Technologies.

[74]  Mohamed Abdel-Basset,et al.  A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles , 2021, IEEE Access.

[75]  Kevin Warwick,et al.  Multi-attribute decision making on mitigating a collision of an autonomous vehicle on motorways , 2021, Expert Syst. Appl..

[76]  Gyula Mester,et al.  The use of autonomous vehicles in transportation , 2021 .

[77]  Jinhuan Zhao,et al.  Public perceptions of autonomous vehicle safety: An international comparison , 2020 .

[78]  Biagio Ciuffo,et al.  Adaptive Cruise Control Strategies Implemented on Experimental Vehicles: A Review , 2019, IFAC-PapersOnLine.

[79]  Jacek Żak,et al.  Design of Passenger Public Transportation Solutions Based on Autonomous Vehicles and Their Multiple Criteria Comparison with Traditional Forms of Passenger Transportation , 2015 .

[80]  Basar Öztaysi,et al.  A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems , 2014, Knowl. Based Syst..

[81]  Charles Miquet,et al.  New test method for reproducible real-time tests of ADAS ECUs: “Vehicle-in-the-Loop” connects real-world vehicles with the virtual world , 2014 .

[82]  Kira Keuhn,et al.  'Garbage is not Garbage' & "Bus Tubes": Recycling and Transport in the Sustainable City: Curitiba, Brazil , 2007 .

[83]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .