Araştırma Makalesi
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Farm Tractor Selection Aligned with Universal Design Principles: A Fuzzy Vikor Approach

Yıl 2024, Cilt: 1 Sayı: 2, 37 - 49, 20.12.2024

Öz

Universal Design (UD) promotes the development of goods and atmospheres that are usable by individuals of all ages and abilities, ensuring inclusivity without the demand for appropriated assistance, eliminating the need for assistance during usage. While UD is guided by a set of principles, it remains challenging to assess or visualize whether a product, system, environment, building, or transportation method exemplifies these principles effectively. As a multi-criterion decision-making (MCDM) method, fuzzy VIKOR is well-suited to solve problems within a fuzzy atmosphere, where uncertainty and ambiguity often cloud the decision-making process. This method effectively maximizes group utility and facilitates the identification of a mediatory solution, thus contributing to the resolution of complex decision-making challenges. To address this challenge, the current study proposes the use of the fuzzy VIKOR method for evaluating UD. There is a clear opportunity to develop research that combines UD principles with tractor selection criteria, considering factors like ease of use, accessibility, and adaptability for a broad-ranging of users, bearing those with differing physical abilities. Specifically, the tractor selection process is analyzed using fuzzy VIKOR, with the criteria reflecting key principles of UD. An empirical study was conducted to illustrate the practicality and efficiency of the proposed model in resolving these challenges.

Kaynakça

  • AfacanY. & Demirkan H. (2011). An ontology-based universal design knowledge support system. Knowledge-Based Systems, 24, 530-541.
  • Akyüz G. (2012). Bulanık VİKOR yöntemi ile tedarikçi seçimi. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 26, 197-214.
  • Al-Tal M.S. (2002). Integrated universal design: A solution for everyone. ProQuest Dissertations and Theses.
  • Ansari M.N. & Kannan T. (2010). Powertrain selection for electric city bus based on the MCDM.14th International Power Electronics and Motion Control Conference
  • Aslaksen F. & Bergh S. (1997). Universal Design: Planning and Design for All.The Norwegian State Council on Disability Oslo
  • Büyüközkan G. & Ruan D. (2008). Evaluation of software development projects using a fuzzy multi-criteria decision approach. Mathematics and Computers in Simulation, 77, 464-475.
  • Chou J.R. (2012). A linguistic evaluation approach for universal design. Information Sciences, 190, 76-94.
  • Connolly, S. (2006). English language learners and technology: Applying universal design. ProQuest Dissertations and Theses
  • Ertuğrul İ. & Karakaşoğlu N. (2008). Banka şube performanslarının VIKOR yöntemi ile değerlendirilmesi. Endüstri Mühendisliği Dergisi, 20, 19-28.
  • Fearley N., Flügel S. & Ramjerdi F. (2011). Passengers’ valuations of universal design measures in public transport. Research in Transportation Business & Management, 2, 83-91.
  • Fuente C. (2006). The use of universal design methodology for developing child-resistant drug packaging. ProQuest Dissertations and Theses.
  • Girubha R.J. & Vinodh S., (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials and Design, 37, 478–486.
  • Giuliani R.W. (2001). Universal Design New York. New York: Longman, (Chapter 2).
  • Hajare, P., (2006). Psychometric properties of the universal design for play tool. MSc Thesis, Department of Rehabilitation Science Program of Occupational Therapy, Faculty of the Graduate School, State University of New York, Buffalo.
  • Hasan, A.E. & Jaber, F.K. (2024). Prioritizing Road Maintenance: A framework integrating fuzzy best-worst method and VIKOR for multi-criteria decision making. Engineering, Technology & Applied Science Research, 14(3).
  • Hoyt L.M., (1993). A guide for students of landscape architecture: toward understanding the ADA and UD. ProQuest Dissertations and Theses.
  • James H. & Liou Y.C. (2010). Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications, 37, 3755-3761.
  • Kadir A. & Jamaludin M. (2012). Applicability of Malaysian standards and universal design in public buildings in Putrajaya. Procedia-Social and Behavioral Sciences, 36, 659-669.
  • Kadir, A., Jamaludin M. & Rahim A. (2012). Building managers’ perception in regards to accessibility and universal design implementation in public buildings: Putrajaya case studies. Procedia-Social and Behavioral Sciences, 35, 129-136.
  • Kaya T. & Kahraman C. (2011). Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach. Expert Systems with Applications,38, 7326-7333.
  • Kuo M. & Lieng G. (2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Systems with Applications, 38, 1304-1312.
  • Liau C.N. & Kao H.P. (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Systems with Applications, 38, 10803-10811.
  • Odeck J., Hagen T. & Fearnley N. (2010). Economic appraisal of universal design in transport: Experiences from Norway. Research in Transportation Economics, 29, 304-311.
  • Opricovic S. & Tzeng G. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156, 445-455.
  • Opricovic S. & Tzeng G. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178, 514-529.
  • Opricovic S. (2012). Fuzzy VIKOR with an application to water resources planning. Expert Systems with Applications, 38, 12983-12990.
  • Sayadi M.K. & Heydari M. (2009). Extension of VIKOR method for decision making problem with interval numbers. Applied Mathematical Modeling, 33, 2257-2262.
  • Shemshadi A., Shirazi H., Toreihi M. & Tarokh M. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38, 12160-12167.
  • Story M.F., Mueller J.L. & Mace R. (1998). The universal design file: Designing for people of all ages and abilities. The Center of Universal Design, North Caroline State University.
  • Tokar, S. (2003). Universal Design: An optimal approach to the development of hands-on science exhibits in museums. ProQuest Dissertations and Theses.
  • Tzeng G. & Opricovic S., (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33, 1373-1383.
  • Wolford N. (2000). Universal design standards for single-family housing. ProQuest Dissertations and Theses.
  • Yücenur G.N. & Demirel N.Ç. (2012) Group decision making process for insurance company selection problem with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39, 3702-3707.
  • Zıngıl T. (2009). Supplier selection using TOPSIS and VIKOR under fuzzy environment. The Graduate School of Natural and Applied Sciences, Bahçeşehir University.

Farm Tractor Selection Aligned with Universal Design Principles: A Fuzzy Vikor Approach

Yıl 2024, Cilt: 1 Sayı: 2, 37 - 49, 20.12.2024

Öz

Universal Design (UD) promotes the development of goods and atmospheres that are usable by individuals of all ages and abilities, ensuring inclusivity without the demand for appropriated assistance, eliminating the need for assistance during usage. While UD is guided by a set of principles, it remains challenging to assess or visualize whether a product, system, environment, building, or transportation method exemplifies these principles effectively. As a multi-criterion decision-making (MCDM) method, fuzzy VIKOR is well-suited to solve problems within a fuzzy atmosphere, where uncertainty and ambiguity often cloud the decision-making process. This method effectively maximizes group utility and facilitates the identification of a mediatory solution, thus contributing to the resolution of complex decision-making challenges. To address this challenge, the current study proposes the use of the fuzzy VIKOR method for evaluating UD. There is a clear opportunity to develop research that combines UD principles with tractor selection criteria, considering factors like ease of use, accessibility, and adaptability for a broad-ranging of users, bearing those with differing physical abilities. Specifically, the tractor selection process is analyzed using fuzzy VIKOR, with the criteria reflecting key principles of UD. An empirical study was conducted to illustrate the practicality and efficiency of the proposed model in resolving these challenges.

Kaynakça

  • AfacanY. & Demirkan H. (2011). An ontology-based universal design knowledge support system. Knowledge-Based Systems, 24, 530-541.
  • Akyüz G. (2012). Bulanık VİKOR yöntemi ile tedarikçi seçimi. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 26, 197-214.
  • Al-Tal M.S. (2002). Integrated universal design: A solution for everyone. ProQuest Dissertations and Theses.
  • Ansari M.N. & Kannan T. (2010). Powertrain selection for electric city bus based on the MCDM.14th International Power Electronics and Motion Control Conference
  • Aslaksen F. & Bergh S. (1997). Universal Design: Planning and Design for All.The Norwegian State Council on Disability Oslo
  • Büyüközkan G. & Ruan D. (2008). Evaluation of software development projects using a fuzzy multi-criteria decision approach. Mathematics and Computers in Simulation, 77, 464-475.
  • Chou J.R. (2012). A linguistic evaluation approach for universal design. Information Sciences, 190, 76-94.
  • Connolly, S. (2006). English language learners and technology: Applying universal design. ProQuest Dissertations and Theses
  • Ertuğrul İ. & Karakaşoğlu N. (2008). Banka şube performanslarının VIKOR yöntemi ile değerlendirilmesi. Endüstri Mühendisliği Dergisi, 20, 19-28.
  • Fearley N., Flügel S. & Ramjerdi F. (2011). Passengers’ valuations of universal design measures in public transport. Research in Transportation Business & Management, 2, 83-91.
  • Fuente C. (2006). The use of universal design methodology for developing child-resistant drug packaging. ProQuest Dissertations and Theses.
  • Girubha R.J. & Vinodh S., (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials and Design, 37, 478–486.
  • Giuliani R.W. (2001). Universal Design New York. New York: Longman, (Chapter 2).
  • Hajare, P., (2006). Psychometric properties of the universal design for play tool. MSc Thesis, Department of Rehabilitation Science Program of Occupational Therapy, Faculty of the Graduate School, State University of New York, Buffalo.
  • Hasan, A.E. & Jaber, F.K. (2024). Prioritizing Road Maintenance: A framework integrating fuzzy best-worst method and VIKOR for multi-criteria decision making. Engineering, Technology & Applied Science Research, 14(3).
  • Hoyt L.M., (1993). A guide for students of landscape architecture: toward understanding the ADA and UD. ProQuest Dissertations and Theses.
  • James H. & Liou Y.C. (2010). Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications, 37, 3755-3761.
  • Kadir A. & Jamaludin M. (2012). Applicability of Malaysian standards and universal design in public buildings in Putrajaya. Procedia-Social and Behavioral Sciences, 36, 659-669.
  • Kadir, A., Jamaludin M. & Rahim A. (2012). Building managers’ perception in regards to accessibility and universal design implementation in public buildings: Putrajaya case studies. Procedia-Social and Behavioral Sciences, 35, 129-136.
  • Kaya T. & Kahraman C. (2011). Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach. Expert Systems with Applications,38, 7326-7333.
  • Kuo M. & Lieng G. (2011). Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Systems with Applications, 38, 1304-1312.
  • Liau C.N. & Kao H.P. (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Systems with Applications, 38, 10803-10811.
  • Odeck J., Hagen T. & Fearnley N. (2010). Economic appraisal of universal design in transport: Experiences from Norway. Research in Transportation Economics, 29, 304-311.
  • Opricovic S. & Tzeng G. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156, 445-455.
  • Opricovic S. & Tzeng G. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178, 514-529.
  • Opricovic S. (2012). Fuzzy VIKOR with an application to water resources planning. Expert Systems with Applications, 38, 12983-12990.
  • Sayadi M.K. & Heydari M. (2009). Extension of VIKOR method for decision making problem with interval numbers. Applied Mathematical Modeling, 33, 2257-2262.
  • Shemshadi A., Shirazi H., Toreihi M. & Tarokh M. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38, 12160-12167.
  • Story M.F., Mueller J.L. & Mace R. (1998). The universal design file: Designing for people of all ages and abilities. The Center of Universal Design, North Caroline State University.
  • Tokar, S. (2003). Universal Design: An optimal approach to the development of hands-on science exhibits in museums. ProQuest Dissertations and Theses.
  • Tzeng G. & Opricovic S., (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33, 1373-1383.
  • Wolford N. (2000). Universal design standards for single-family housing. ProQuest Dissertations and Theses.
  • Yücenur G.N. & Demirel N.Ç. (2012) Group decision making process for insurance company selection problem with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39, 3702-3707.
  • Zıngıl T. (2009). Supplier selection using TOPSIS and VIKOR under fuzzy environment. The Graduate School of Natural and Applied Sciences, Bahçeşehir University.
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çok Ölçütlü Karar Verme
Bölüm Araştırma Makalesi
Yazarlar

Fatma Ateş 0000-0001-6512-0685

Yayımlanma Tarihi 20 Aralık 2024
Gönderilme Tarihi 14 Aralık 2024
Kabul Tarihi 19 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 1 Sayı: 2

Kaynak Göster

APA Ateş, F. (2024). Farm Tractor Selection Aligned with Universal Design Principles: A Fuzzy Vikor Approach. Uygulamalı Mühendislik Ve Tarım Dergisi, 1(2), 37-49.