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In this study, fuzzy logic-based mathematical decision-making published papers in educational administration, published books, and other related accessible resources between years 1960 and 2016 and related books or resources were evaluated. In other words, a content analysis of papers was achieved. To do this, published articles were investigated and studied based on their content. An analysis of the techniques that were used in the field and publishing years of the papers were concentrated upon.
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Anderson, L. (Ed.). (1984). Time and school learning: Theory, research and practice. New York: St. Martin’s Press.
Aydın, M. (1994). Eğitim yönetimi. Malatya: Hatiboğlu Yayınları.
Baesens, B., et al. (2011). Gaining insight into student satisfaction using comprehensible data mining techniques. European Journal of Operational Research, 218, 548–562.
Bassey, M. (2001). A solution to the problem of generalization in educational research: Fuzzy prediction. Oxford Review of Education, 27(1), 5–22. CrossRef
Blake, I. F. (1979). An Introduction to Applied Probability. Michigan University: Wiley.
Bordogna, G., Fedrizzi, M., & Passi, G. (1997). A linguistic modeling of consensus in group decision-making based on OWA operators. IEEE Transactions on Systems, Man, and Cybernetics, A27(1), 126–132. CrossRef
Borisov, A. N., Alekseev, A. V., Merkur’eva, G. V., et al. (1989). Fuzzy information processing in decision-making systems. Moscow: Radio i Svyaz. (in Russian).
Bossel, H., Klaczko, S., & Muller, N. (1976). Systems theory in the social sciences. Basel: Birkhäuser.
Boulos, M. N. K., Hetherington, L., & Wheeler, S. (2007). Second Life: An overview of the potential of 3-D virtual worlds in medical and health education. Health Information and Libraries Journal, 24(4), 233–245. CrossRef
Bracey, G. (1997). Understanding education statistics: It’s easier (and more important) than you think. Arlington: Educational Research Service.
Buckley, J. J. (1995). The multiple judge, multiple criteria ranking problem: A fuzzy set approach. Fuzzy Sets and Systems, 13(1), 23–37.
Bursalıoğlu, Z. (1987). Okul yönetiminde yeni yapi ve davraniş. Ankara: Ankara Üniversitesi Eğitim Bilimleri FakÜltesi Yayınları.
Chan, Y. Y. (2007). Teaching queueing theory with an inquiry-based learning approach: A case for applying WebQuest in a course in simulation and statistical analysis. 37th ASEE/IEEE Frontiers in Education Conference F3C-2. Milwaukee.
Chen, G., & al, e. (2000). Discovering decision knowledge from web log portfolio for managing classroom processes by applying decision tree and data cube technology. Journal of Educational Computing Research, 23(3), 305–332. CrossRef
Claxton, G. (1996). Integrated learning theory and the learner teacher. In G. Claxton, T. Atkinson, M. Osborn, & Wallace (Eds.), Liberating the learner lessons for professional development in education. London: Routledge.
Cobb, P. (1994). Where is the mind? Constructivist and sociocultural perspectives on mathematical development. Educational Researcher, 23(7), 13–19. CrossRef
Cook, D. L. (1966). Program evaluation and review technique: Applications in education. ERIC ED 015 533.
Cook, D. L. (1967) Better project planning and control through the use of system analysis and management techniques. ERIC ED 019 729.
Creighton, T. B. (2000). Schools and data: The educator’s guide for using data to improve decision making. Thousand Oaks: Corwin Press.
Dejaeger, K., Goethals, F., Giangreco, A., Mola, L., & Baesens, B. (2011) Gaining insight into student satisfaction using comprehensible data mining techniques. Available online: 17 November 2011, http://www.elsevier.com/locate/ejor
Dusseldorf, V., Ralph, A., & Richardson, D. E. (1971). Educational decision-making through operations research. Boston: Allyn and Bacon.
Faria, A. J. (2001). The changing nature of business simulation/gaming research: a brief history. Simulation and Gaming, 32(1), 97–110. CrossRef
Fourali, C. (1994). Fuzzy logic and the quality of assessment of portfolios. Fuzzy Sets and Systems, 68, 123–139. CrossRef
Fourali, C. (1997). Using fuzzy logic in educational measurement: The case of portfolio assessment. Evaluation & Research in Education, 11(3), 129–148. CrossRef
Gary, M. S., & Wood, R. E. (2011). Mental models, decision rules, and performance heterogeneity. Strategic Management Journal, 32(6), 569–594. CrossRef
Geraldine, B., Alexander, R., Sherin, G. M., Hilda, B., & Tina, S. (2013). Five research-based heuristics for using video in pre-service teacher education. Journal for Educational Research Online, 5(1), 90–114.
Gordon, G. (1969). System simulation. New Jersey: Englewood Cliffs\Prentice-Hall.
Graden, J. et al. (1984). Changes in academic engaged time as a function of assessment and special education intervention. Special Services in the Schools, 1(2), 31–44. CrossRef
Gravani, M. N., & John, P. D. (2005). ‘Them and us’: Teachers’ and tutors’ perceptions of a ‘new’ professional development course in Greece. Compare: A Journal of Comparative Education, 35(3), 303–319. CrossRef
Habenicht, W., Scheubrein, B., & Scheubrein, R. (2009). Multiple – criteria decision making. Optimization and Operations Research, 4, 257–280.
Hallinger, P., & McCary, M. (1990). Developing the strategic thinking of instructional leaders. The Elementary School Journal, 91(2), 90–108. CrossRef
Hallinger, P., & Kantamara, P. (2001). Learning to lead global changes across cultures: designing a computer-based simulation for Thai school leaders. Journal of Educational Administration, 39(3), 197–220. CrossRef
Hallinger, P., et al. (2010). Learning to lead organizational change in Thailand: assessment of a problem-based learning approach. Educational Review, 62(4), 467–486. CrossRef
Hamalainen, W., et al. (2004). Data mining in personalizing distance education courses. In World confer-ence on open learning and distance education. Hong Kong.
Hoban, G. F. (2002). Teacher learning for educational change: A systems thinking approach. Buckingham: Open University Press.
Holcomb, E. L. (1999). Getting excited about data: How to combine people, passion and proof. Thousand Oaks: Corwin Press.
Houghton, V., & Gear, T. (1975). Towards a management science perspective for recurrent education. Interfaces, 5(2), 6–11. CrossRef
Huyvaert, S. H. (1987). Queuing theory: An alternative approach to educational Research. ERIC ED 285 542 IR 012 747.
Karweit, N., & Slavin, R. E. (1981). Measurement and modeling choices in studies of time and learning. American Educational Research Journal, 18(2), 151–171. CrossRef
Kaya, Y. K. (1991). Eğitim yönetimi kuram ve tÜrkiye’deki uygulama. Ankara: Sef Ofset Matbaacılık.
Keeney, R. L. (1982). Decision Analysis: An Overview. Operations Research, 30(5), 803–838. CrossRef
Kosko, B. (1994). Fuzzy thinking. London: Harper/Collins.
Lean, J., Moizer, J., Towler, M., & Abbey, C. (2006). Simulations and games. Active Learning in Higher Education, 7(3), 227–242. CrossRef
Marion, R. (1999). The edge of organization: Chaos and complexity theories of formal social systems. Thousand Oaks: Sage.
McKenna, C. K. (1980). Quantitative methods for public decision making (pp. 164–195). New York: McGraw-Hill Publishing Company.
McNamara, J. F. (1996). Teaching statistics in principal preparation programs. College Station: The Research Department.
Merriam, S. B., & Caffarella, R. S. (1999). Learning in adulthood: A comprehensive guide (2nd ed.). San Francisco: Jossey-Bass.
Ontjes, R. L. (1972). A linear programming model for assigning students to attendance centers. Chicago: ERIC ED 062395.
Ozturk, A. (2013). Yoneylem arastirmasinin tarihi gelisimi ve ozellikleri. Alphanumeric Journa, 1(1), 4–11.
Pedrycz, W., & Gomide, F. (1998). An introduction to fuzzy sets: Analysis and design. Cambridge, MA: MIT.
Putnam, R. T., & Borko, H. (1997). Teacher learning: Implications of new views of cognition. In B. J. Biddle, T. L. Good, & I. F. Goodson (Eds.), The international handbook of teachers and teaching. Dordrecht: Kluwer.
Putnam, R. T., & Borko, H. (2002). What do new views of knowledge and thinking have to say about research on teacher learning. In B. Moon, A. S. Mayes, & S. Hutchinson (Eds.), Teaching, learning and the curriculum in secondary schools. London: Open University.
Ramalhoto, M. R. (1990). Probabilistic modelling in engineering- queueing theory. European Journal of Engineering Education, 15, 3. CrossRef
Romero, C., & Ventura, S. (2006). Educational data mining: A Survey from 1995 to 2005. Expert Systems with Applications, 33, 135–146. CrossRef
Rossmiller, R. (1983). Time-on task: A Look at what erodes time for instruction. NASSP Bulletin, 67(465), 45–49. CrossRef
Salas, E., Wildman, J. L., & Piccolo, R. F. (2009). Using simulation-based training to enhance management education. Academy of Management Learning & Education, 8(4), 559–573. CrossRef
Sanders, S. (1978). The computer in educational decision making; an introduction and guide for school administrators. Portland: Northwest Regional Educational Lab.
Scherpereel, C. M. (2005). Changing mental models: Business simulation exercises. Simulation & Gaming, 36(3), 388–403. CrossRef
Semerci, N. (2000). Yonetimde karar vermenin kritik dusunme ile iliskisi. Kuram ve Uygulamada Eğitim Yönetimi Dergisi 22.
Showanasai, P., et al. (2013). Developing tools for research on school leadership development: An illustrative case of a computer simulation. Journal of Educational Administration, 51(1), 72–91. CrossRef
Smythe, W., & Johnson, A. (1966). Introduction to linear programming, with applications (p. 187). Englewood Cliffs: Prentice-Hall.
Sottinen, T. (2009). Operations research with GNU linear programming kit.
Stefan, B. (2007). The use of program evaluation and review techniques (Pert) in the management of health organizations. Bucharest, Romania: Academy of Economic Studies Faculty of Management.
Steadman, R. H., Coates, W. C., Huang, Y. M., Matevosian, R., Larmon, B. R., McCullough, L., & Ariel, D. (2006). Simulation-based training is superior to problem-based learning for the acquisition of critical assessment and management skills. Critical Care Medicine, 34(1), 151–157. CrossRef
Tang, T., & McCalla, G. (2002). Student modeling for a web-based learning environment: A data mining approach. In Eighteenth national conference on artificial intelligence (pp. 967–968). Menlo Park: American Association for Artificial Intelligence.
Taymaz, H. (1989). Uygulamalı okul yönetimi. Ankara: Ankara Üniversitesi Eğitim Bilimleri FakÜltesi Yayınları.
Wiest, J. D., & Levy, F. K. (1969). A management guide to PERT/CPM. Englewood Cliffs: Prentice-Hall.
Yılmaz, A. (1999). Etkili karar verme süreci: yeni bir karar verme önerisi. Kuram ve Uygulamada Eğitim Yönetimi Dergisi 18.
Young, R. C. (1973). Linear programming for vocational education planning.
- Fuzzy Logic-Based Operational Research Techniques in Educational Administration: A Content Analysis
- Chapter 54
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