A Rough Decision-Making Model for Biomaterial Selection

Biomaterials are artificial or natural materials that substitute the impaired organic parts to fulfill the global medical requirements for improving resilience and quality of human life. Thus, it has become indispensable to select the most appropriate materials for various biomedical applications. In this chapter, a decision-making model integrating analytic hierarchy process (AHP) as well as combinative distance-based assessment (CODAS) techniques based on rough numbers has been developed for determining the performance scores of different biomaterials for a hip joint prosthesis application. Sensitivity analyses and comparative result analysis show an excellent performance of the integrated model against with respect to some well-established decision-making methods in terms of derived ranking patterns.

[1]  Prasenjit Chatterjee,et al.  Development of a hybrid meta-model for material selection using design of experiments and EDAS method , 2018 .

[2]  Dragisa Stanujkic,et al.  Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks , 2013 .

[3]  Miodrag Manić,et al.  IMPLANT MATERIAL SELECTION USING EXPERT SYSTEM , 2017 .

[4]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .

[5]  J. Donnez,et al.  Fibrin in Reproductive Tissue Engineering: A Review on Its Application as a Biomaterial for Fertility Preservation , 2017, Annals of Biomedical Engineering.

[6]  Edmundas Kazimieras Zavadskas,et al.  Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case , 2006 .

[7]  Prasenjit Chatterjee,et al.  A Developed Meta-model for Selection of Cotton Fabrics Using Design of Experiments and TOPSIS Method , 2017 .

[8]  Miloš Madić,et al.  Decision Support System for Selection of the Most Suitable Biomedical Material , 2015 .

[9]  Golam Kabir,et al.  Material selection for femoral component of total knee replacement integrating fuzzy AHP with PROMETHEE , 2016, J. Intell. Fuzzy Syst..

[10]  Prasenjit Chatterjee,et al.  Materials selection using COPRAS and COPRAS-G methods , 2012 .

[11]  Dragan Pamucar,et al.  The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC) , 2015, Expert Syst. Appl..

[12]  Vasna Ramasar,et al.  Problems with Firm-Led Voluntary Sustainability Schemes: The Case of Direct Trade Coffee , 2017 .

[13]  A. Hafezalkotob,et al.  Interval MULTIMOORA method with target values of attributes based on interval distance and preference degree: biomaterials selection , 2017 .

[14]  Prasenjit Chatterjee,et al.  Development of a meta-model for the determination of technological value of cotton fiber using design of experiments and the TOPSIS method , 2018 .

[15]  Mahmoud M. Farag,et al.  Materials and Process Selection for Engineering Design , 2007 .

[16]  Dragan Pamučar,et al.  A Sensitivity analysis in MCDM problems: A statistical approach , 2018, Decision Making: Applications in Management and Engineering.

[17]  Mehdi Keshavarz Ghorabaee,et al.  A NEW COMBINATIVE DISTANCE-BASED ASSESSMENT(CODAS) METHOD FOR MULTI-CRITERIA DECISION-MAKING , 2016 .

[18]  Ali M. Abdulshahed,et al.  A CASE STUDY OF SUPPLIER SELECTION FOR A STEELMAKING COMPANY IN LIBYA BY USING THE COMBINATIVE DISTANCE-BASED ASSESSMENT (CODAS) MODEL , 2018 .

[19]  Ashkan Hafezalkotob,et al.  Comprehensive MULTIMOORA method with target-based attributes and integrated significant coefficients for materials selection in biomedical applications , 2015 .

[20]  Edmundas Kazimieras Zavadskas,et al.  Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) , 2015, Informatica.

[21]  Ali Jahan,et al.  Material selection for femoral component of total knee replacement using comprehensive VIKOR , 2011 .

[22]  Xin Guo Ming,et al.  A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments , 2014, Qual. Reliab. Eng. Int..

[23]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[24]  Prasenjit Chatterjee,et al.  A comparative analysis of VIKOR method and its variants , 2016 .

[25]  Prasenjit Chatterjee,et al.  A novel integrated decision-making approach for the evaluation and selection of renewable energy technologies , 2018, Clean Technologies and Environmental Policy.

[26]  F. O'Brien,et al.  Biomaterial based modulation of macrophage polarization: A review and suggested design principles , 2015 .

[27]  Dragan Pamuar,et al.  Novel approach to group multi-criteria decision making based on interval rough numbers , 2017 .

[28]  S. Chakraborty,et al.  Cutting tool material selection using grey complex proportional assessment method , 2012 .

[29]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[30]  Marjan Bahraminasab,et al.  NiTi Shape Memory Alloys, Promising Materials in Orthopedic Applications , 2013 .

[31]  Dragan Pamučar,et al.  Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers , 2017 .

[32]  Mehdi Nikkhah,et al.  Nanoreinforced Hydrogels for Tissue Engineering: Biomaterials that are Compatible with Load‐Bearing and Electroactive Tissues , 2017, Advanced materials.

[33]  Ali Jahan.  Material selection in biomedical applications: comparing the comprehensive VIKOR and goal programming models , 2012 .

[34]  Ali Jahan,et al.  Weighting of dependent and target-based criteria for optimal decision-making in materials selection process: Biomedical applications , 2013 .

[35]  Prasenjit Chatterjee,et al.  An Integrated DEMATEL–VIKOR Method-Based Approach for Cotton Fibre Selection and Evaluation , 2018 .

[36]  Amit Aherwar,et al.  Current and future biocompatibility aspects of biomaterials for hip prosthesis , 2015 .

[37]  Prasenjit Chatterjee,et al.  Performance evaluation of Indian Railway zones using DEMATEL and VIKOR methods , 2016 .

[38]  A. Singh,et al.  Selection of Molybdenum-Filled Hip Implant Material Using Grey Relational Analysis Method , 2018 .

[39]  Alireza Sotoudeh-Anvari,et al.  A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems , 2017 .

[40]  Gordan Stojic,et al.  Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company , 2017, Symmetry.

[41]  Madjid Tavana,et al.  An application of an integrated ANP–QFD framework for sustainable supplier selection , 2017 .

[42]  Prasenjit Chatterjee,et al.  Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry , 2017 .

[43]  Prasenjit Chatterjee,et al.  Materials selection using complex proportional assessment and evaluation of mixed data methods , 2011 .

[44]  Pawel Pieranski,et al.  Mind the Microgap in Iridescent Cellulose Nanocrystal Films , 2017, Advanced materials.

[45]  Prasenjit Chatterjee,et al.  A new fuzzy methodology-based structured framework for RAM and risk analysis , 2019, Appl. Soft Comput..

[46]  Edmundas Kazimieras Zavadskas,et al.  The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods , 2017, Symmetry.

[47]  Jong Hyuk Park,et al.  Unmanned Aerial Vehicle Flight Point Classification Algorithm Based on Symmetric Big Data , 2016, Symmetry.

[48]  Edmundas Kazimieras Zavadskas,et al.  Fuzzy extension of the CODAS method for multi-criteria market segment evaluation , 2017 .

[49]  Thomas L. Saaty,et al.  On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process , 2007, Math. Comput. Model..

[50]  T. Woodfield,et al.  Magnesium biomaterials for orthopedic application: a review from a biological perspective. , 2014, Journal of biomedical materials research. Part B, Applied biomaterials.

[51]  David J. Mooney,et al.  Inspiration and application in the evolution of biomaterials , 2009, Nature.

[52]  Prasenjit Chatterjee,et al.  Selection of industrial robots using compromise ranking and outranking methods , 2010 .

[53]  S. M. Sapuan,et al.  A comprehensive VIKOR method for material selection , 2011, Materials & Design.

[54]  Farzam Farahmand,et al.  Multi-objective design optimization of functionally graded material for the femoral component of a total knee replacement , 2014 .