CO2 Emission based prioritization of bridge maintenance projects using neutrosophic fuzzy sets based decision making approach

Abstract Climate change is one of the most challenging problems for the world, which leads researchers to study on the decrease of its impact to the environment at several disciplines. One of the most adverse effects on environment can be observed in transportation area. Hence, in this paper, the impact of bridge maintenance on the environment is inquired in the bridge maintenance prioritization perspective. The aim of this paper is to rank the bridge maintenance projects using type-2 neutrosophic number (T2NN) based fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and TOPSIS (Technique For Order Preference By Similarity To An Ideal Solution) to test five alternative bridges, where a critical environmental criterion is introduced in this model, which addresses to additional C O 2 emission because of truck detours in the event of a bridge closures. The applicability of the proposed model is demonstrated in a case study in Turkey. The evaluation findings show that the ranking results are robust and the C O 2 emission criterion is found to be the dominant criterion in the multi-criteria decision-making model proposed in this paper.

[1]  David Y. Yang,et al.  Network-Level Risk-Based Framework for Optimal Bridge Adaptation Management Considering Scour and Climate Change , 2020 .

[2]  José Dinis Silvestre,et al.  From the new European Standards to an environmental, energy and economic assessment of building assemblies from cradle-to-cradle (3E-C2C) , 2013 .

[3]  Mohamed Abdel-Basset,et al.  An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number , 2019, Appl. Soft Comput..

[4]  William T. Scherer,et al.  Markovian Models for Bridge Maintenance Management , 1994 .

[5]  Hong-yu Zhang,et al.  A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection , 2016, Neural Computing and Applications.

[6]  Maurizio Crispino,et al.  Multi-attribute life cycle assessment of preventive maintenance treatments on road pavements for achieving environmental sustainability , 2012, The International Journal of Life Cycle Assessment.

[7]  Kumares C. Sinha,et al.  Methodology for the Determination of Relative Weights of Highway Asset Management System Goals and of Performance Measures , 2009 .

[8]  Changqin Liu,et al.  Maintenance Strategy Optimization of Bridge Decks Using Genetic Algorithm , 1997 .

[9]  Gregory A. Keoleian,et al.  Integrated Life-Cycle Assessment and Life-Cycle Cost Analysis Model for Concrete Bridge Deck Applications , 2008 .

[10]  Muhammet Deveci,et al.  Developing a novel fuzzy neutrosophic numbers based decision making analysis for prioritizing the energy storage technologies , 2020 .

[11]  Surapati Pramanik,et al.  Aggregation of Triangular Fuzzy Neutrosophic Set Information and Its Application to Multi-Attribute Decision Making , 2016 .

[12]  H. Kua The Consequences of Substituting Sand with Used Copper Slag in Construction , 2013 .

[13]  Samuel Labi,et al.  Multi-Objective Optimization for Bridge Management Systems , 2007 .

[14]  Dan M. Frangopol,et al.  Minimum expected cost-oriented optimal maintenance planning for deteriorating structures: application to concrete bridge decks , 2001, Reliab. Eng. Syst. Saf..

[15]  Raymond J. Cole,et al.  Energy and greenhouse gas emissions associated with the construction of alternative structural systems , 1998 .

[16]  Max Roser,et al.  CO₂ and Greenhouse Gas Emissions , 2017 .

[17]  Samuel Labi,et al.  Multiobjective Optimization for Project Selection in Network-Level Bridge Management Incorporating Decision-Maker’s Preference Using the Concept of Holism , 2013 .

[18]  Christy Mihyeon Jeon Incorporating Uncertainty into Transportation Decision Making , 2010 .

[19]  Zhai,et al.  Life-cycle Cost Based Maintenance and Rehabilitation Strategies for Cable Supported Bridges , 2015 .

[20]  Ayaho Miyamoto,et al.  Bridge Management System and Maintenance Optimization for Existing Bridges , 2000 .

[21]  Jianqiang Wang,et al.  Evaluation of e-commerce websites: An integrated approach under a single-valued trapezoidal neutrosophic environment , 2017, Knowl. Based Syst..

[22]  Gonzalo Guillén-Gosálbez,et al.  Eco-costs evaluation for the optimal design of buildings with lower environmental impact , 2016 .

[23]  Arpad Horvath,et al.  Comparison of Environmental Effects of Steel- and Concrete-Framed Buildings , 2005 .

[24]  Alissa Kendall A dynamic life cycle assessment tool for comparing bridge deck designs , 2004 .

[25]  Kumares C. Sinha,et al.  Methodology for Multicriteria Decision Making in Highway Asset Management , 2004 .

[26]  Geoff Levermore,et al.  A review of the IPCC Assessment Report Four, Part 1: the IPCC process and greenhouse gas emission trends from buildings worldwide , 2008 .

[27]  Muhammet Deveci,et al.  A new hybrid fuzzy multi-criteria decision methodology model for prioritizing the alternatives of the hydrogen bus development: A case study from Romania , 2020 .

[28]  Anish Sachdeva,et al.  Risk analysis of cutting system under intuitionistic fuzzy environment , 2020 .

[29]  F. Smarandache,et al.  Neutrosophic Integer Programming Problem , 2017 .

[30]  Dan M. Frangopol,et al.  Multiobjective Maintenance Planning Optimization for Deteriorating Bridges Considering Condition, Safety, and Life-Cycle Cost , 2005 .

[31]  Sanjin Milinković,et al.  Determining Criteria Significance in Selecting Reach Stackers by Applying the Fuzzy PIPRECIA Method , 2020 .

[32]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[33]  E. Zavadskas,et al.  Optimization of Weighted Aggregated Sum Product Assessment , 2012 .

[34]  Samuel Labi,et al.  Trade-off Analysis Methodology for Asset Management , 2008 .

[35]  Dan M. Frangopol,et al.  Two probabilistic life-cycle maintenance models for deteriorating civil infrastructures , 2004 .

[36]  Mohamed Abdel-Basset,et al.  A neutrosophic theory based security approach for fog and mobile-edge computing , 2019, Comput. Networks.

[37]  Mohamed Abdel-Basset,et al.  A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria , 2018, Des. Autom. Embed. Syst..

[38]  Florian Kellner Exploring the impact of traffic congestion on CO2 emissions in freight distribution networks , 2016, Logist. Res..

[39]  Jie Wang,et al.  Decision Support System for Optimizing the Maintenance of RC Girder Bridge Superstructures in Consideration of the Carbon Footprint , 2015 .

[40]  Dan M. Frangopol,et al.  Optimal bridge maintenance planning based on probabilistic performance prediction , 2004 .

[41]  Samuel Labi,et al.  Performance Measures for Enhanced Bridge Management , 2007 .

[42]  Ridvan Sahin,et al.  A Multi-criteria neutrosophic group decision making metod based TOPSIS for supplier selection , 2014, ArXiv.

[43]  Aliye Ayca Supciller,et al.  Selection of wind turbines with multi-criteria decision making techniques involving neutrosophic numbers: A case from Turkey , 2020 .

[44]  André Stephan,et al.  Life cycle energy and cost analysis of embodied, operational and user-transport energy reduction measures for residential buildings , 2016 .

[45]  Muhammet Deveci,et al.  Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model , 2020, Eng. Appl. Artif. Intell..

[46]  Michael D. Lepech,et al.  Life-cycle cost model for evaluating the sustainability of bridge decks , 2004 .

[47]  Adem Atmaca,et al.  Life cycle energy (LCEA) and carbon dioxide emissions (LCCO2A) assessment of two residential buildings in Gaziantep, Turkey , 2015 .

[48]  D. Marinković,et al.  Objective methods for determining criteria weight coefficients: A modification of the CRITIC method , 2020 .

[49]  Kaan Ozbay,et al.  Life-Cycle Cost Analysis: State of the Practice Versus State of the Art , 2004 .

[50]  Tarek Zayed,et al.  Model for the Physical Risk Assessment of Bridges with Unknown Foundation , 2007 .

[51]  Wende Zhang,et al.  Multiple attribute group decision making methods based on trapezoidal fuzzy neutrosophic numbers , 2017, J. Intell. Fuzzy Syst..

[52]  Muhammad Riaz,et al.  Certain properties of soft multi-set topology with applications in multi-criteria decision making , 2020, Decision Making: Applications in Management and Engineering.

[54]  Margaret Bell,et al.  A comparative study of the emissions by road maintenance works and the disrupted traffic using life cycle assessment and micro-simulation , 2009 .

[55]  Hong-yu Zhang,et al.  Selecting an outsourcing provider based on the combined MABAC-ELECTRE method using single-valued neutrosophic linguistic sets , 2018, Comput. Ind. Eng..

[56]  Enda Crossin,et al.  The greenhouse gas implications of using ground granulated blast furnace slag as a cement substitute , 2015 .

[57]  Jardar Lohne,et al.  Life cycle assessment of Norwegian road tunnel , 2015, The International Journal of Life Cycle Assessment.

[58]  Selman Karagoz,et al.  A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul , 2020, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[59]  J. Padgett,et al.  Sustainability of Natural Hazard Risk Mitigation: Life Cycle Analysis of Environmental Indicators for Bridge Infrastructure , 2013 .

[60]  윤태영,et al.  Transportation Research Board of the National Academies , 2015 .

[61]  Yoshito Itoh,et al.  Using CO2 emission quantities in bridge lifecycle analysis , 2003 .

[62]  Dan M. Frangopol,et al.  Probabilistic Lifetime-Oriented Multiobjective Optimization of Bridge Maintenance: Combination of Maintenance Types , 2006 .

[63]  Romualdas Bausys,et al.  Model for residential house element and material selection by neutrosophic MULTIMOORA method , 2017, Engineering applications of artificial intelligence.

[64]  H. Kua,et al.  Steel‐versus‐Concrete Debate Revisited: Global Warming Potential and Embodied Energy Analyses based on Attributional and Consequential Life Cycle Perspectives , 2017 .

[65]  Ibrahim M. Hezam,et al.  COVID-19 Vaccine: A neutrosophic MCDM approach for determining the priority groups , 2020, Results in Physics.

[66]  Janez Turk,et al.  Environmental evaluation of two scenarios for the selection of materials for asphalt wearing courses , 2015 .

[67]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[68]  Yoshito Itoh,et al.  Lifecycle cost and CO2 emission comparison of conventional and rationalized bridges , 2006 .

[69]  Florentin Smarandache,et al.  Neutrosophic set - a generalization of the intuitionistic fuzzy set , 2004, 2006 IEEE International Conference on Granular Computing.

[70]  Muhammet Gul,et al.  An FMEA-based TOPSIS approach under single valued neutrosophic sets for maritime risk evaluation: the case of ship navigation safety , 2020, Soft Computing.

[71]  Huseyin Selcuk Kilic,et al.  Comparison of municipalities considering environmental sustainability via neutrosophic DEMATEL based TOPSIS , 2020 .

[72]  Rakesh Kumar,et al.  G-TOPSIS: a cloud service selection framework using Gaussian TOPSIS for rank reversal problem , 2020, The Journal of Supercomputing.