Sürdürülebilir Kalkınma Amaçları
Yayınlar
- BildiriYalnız künye2020Design factors for sustainable university campus via interval type 2 fuzzy set
Kaya, Sema Kayapinar; Erginel, Nihal; Kahraman, C.; Cevik Onar, S.; Oztaysi, B.; Sari, I.U.; Cebi, S.; Tolga, A.C.
Sustainable development has gained importance in recent years as a development model that aims to create environmental awareness for future generations within the economic and social development goals of the countries. Sustainable development is concerned with the effective and efficient use of rapidly declining natural resources for the growing population. The achievement of the goals determined in sustainable development and the transfer to the next generations is realized through sustainable education. Due to the innovative and pioneering role of universities in society, they are the most important educational institutions that contribute to the spread of a sustainable lifestyle in society. In this study, Interval Type-2 Fuzzy Quality Function Deployment (IT2_FQFD) approach was developed to improve sustainable university attributes. Firstly, the most important 12 sustainability criteria (SRs) were weighted with Interval Type-2 Fuzzy Analytic Hierarchy Process (IT2_FAHP). Then QFD approach was used to determine the importance of sustainability factor of university campus, the relations between SRs and SDs, and the correlations matrix among SDs via interval type-2 fuzzy sets. After that, the design attributes were ranked with fuzzy trade-off method. The fuzzy trade-off is a novel ranking method covering all of the solution space in order to find an optimal solution in decision-making problems with conflict criteria. This paper is the first study that presents a new method of combined IT2_FQFD and IT2_FAHP, which evaluates the sustainable university model considering the needs of student and academicians. As a result of this study, the most appropriate SDs were determined and ranked according to their importance level.
AtıfScopus2OpenAlex2
İncele - MakaleYalnız künye2020Scopus SJRQ1Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment
Kayapinar Kaya, Sema; Erginel, Nihal
The interest of researchers and airport authorities towards sustainable airports is increasing day by day. Futuristic airport designs will be innovative in achieving sustainable development practices such as clean and affordable energy, protection of natural resources, waste reduction, natural features and green space around an airport, sustainable transportation system, natural storm water management of airports, etc. In classical Quality Function Deployment, crisp numbers are used to determine the priorities of the passenger requirements, design requirements, and their relationship matrix to evaluate airport quality. However, vagueness and impreciseness are inevitable uncertainties in those kinds of human judgments, which are generally realized by linguistic terms, and traditional Quality Function Deployment is not associated with “sustainability.” The main contribution of this paper is to present a new approach that integrates Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis and Hesitant Fuzzy Sustainable Quality Function Deployment method to enhance the sustainable airport quality. Hesitant fuzzy set theory reflects the hesitancy in human nature while making a decision to the fuzzy numbers, compared to other fuzzy set theories, such as traditional fuzzy sets, type-2 fuzzy sets, etc. In this study, the importance degrees of sustainable passenger requirements were evaluated by considering Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis in the first stage of Hesitant Fuzzy Sustainable Quality Function Deployment method. Then sustainable design requirement was prioritized to develop the sustainable quality management of the airport. Finally, a case study concerning the sustainable development of the airport was used to elucidate the feasibility and rationality of the proposed framework. The results obtained from the case study showed that Hesitant Fuzzy Sustainable Quality Function Deployment could be a practical and structural methodology in the early planning stage of a sustainable airport design.
AtıfScopus68WoS54OpenAlex74
İncele - Derleme MakaleYalnız künye2019Scopus SJRQ1Designing the airport service with fuzzy QFD based on SERVQUAL integrated with a fuzzy multi-objective decision model
Kayapınar, Sema; Erginel, Nihal
Airport service quality is a crucial issue in the transportation industry. Although many studies focus on service quality and measurement of the airports, only a small number of studies that consider linguistic expression and fuzzy approach exist in the literature. This study aims to propose a new integrated approach to develop airport service quality. An integrated approach involving fuzzy Quality Function Deployment (QFD) based on SERVQUAL is used to measure airport service quality and to determine fuzzy weights of technical design requirements. Firstly, passengers’ needs are prioritised by using the SERVQUAL method and gap scores, then QFD matrix is constructed by defining fuzzy relationships between passengers’ needs and expectations, and technical design requirements under imprecise knowledge. Technical design requirements are weighted by using fuzzy QFD matrix as fuzzy numbers. Finally, a fuzzy multiple objective decision model is proposed to select the significant technical design requirements with two objectives: maximising the total fuzzy weights of technical design requirements and minimising the fuzzy technical difficulty level under a fuzzy budget constraint. A two-phase approach is used to solve the constructed fuzzy multi-objective decision model. The final results indicate four design requirements named as ‘the number of information board’, ‘capacity of wi-fi’, ‘emergency help button and automation’, and ‘the number of the signboard’, which maximise the total fuzzy weights of technical design requirements and minimise the sum of the fuzzy technical difficulty of each design requirements under the fuzzy budget constraint. This study is a real-world application which was implemented at the Anadolu University Airport in Turkey.
AtıfScopus40WoS37OpenAlex47İncele