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Journal articles on the topic 'Knowledge-based theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Havlíček, J., J. Hron, and I. Tichá. "Knowledge based higher education." Agricultural Economics (Zemědělská ekonomika) 52, No. 3 (2012): 107–16. http://dx.doi.org/10.17221/5002-agricecon.

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While data and/or information based education was built on pedagogic, psychology, philosophy of science and didactic disciplines, the new dimension of knowledge based education will involve new disciplines such as Knowledge Management, Epistemology, Systems Theory, Artificial Knowledge Management Systems, Value Theory and Theory of Measurement. It is often assumed that data, information and knowledge are depicted as a pyramid. The data, the most plentiful type, are at the bottom, information, produced from data, is above it and knowledge, produced from information through the hard work of refi

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2

Brandstätter, Eduard, and Manuela Gussmack. "Knowledge-Based Choice." Psychological Reports 101, no. 3 (2007): 987–94. http://dx.doi.org/10.2466/pr0.101.3.987-994.

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This study tested the distinction between knowledge-based choices and gambling decisions. Gambling decisions contain stated probabilities, and success depends on chance only. In knowledge-based decisions, in contrast, the probabilities are usually unknown and the outcomes of a choice depend on a person's ability or knowledge. Three different theoretical accounts were used to predict knowledge-based choices: prospect theory, the competence hypothesis, and probability-focused reasoning. Students (64 women, 93 men, M = 22.4 yr.) chose between a knowledge bet and a sure gain of equal expected valu

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3

Peet, Andrew, and Eli Pitcovski. "Normal Knowledge: Toward an Explanation-Based Theory of Knowledge." Journal of Philosophy 115, no. 3 (2018): 141–57. http://dx.doi.org/10.5840/jphil201811539.

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4

Kun Gao, Chen Dong, and Yunpeng Liu. "LTKDC: Lattice Theory Based Knowledge Discovery Cloud." International Journal of Digital Content Technology and its Applications 6, no. 9 (2012): 188–94. http://dx.doi.org/10.4156/jdcta.vol6.issue9.24.

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5

Kengatharan, Navaneethakrishnan. "A knowledge-based theory of the firm." International Journal of Manpower 40, no. 6 (2019): 1056–74. http://dx.doi.org/10.1108/ijm-03-2018-0096.

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Purpose Drawing on the knowledge-based theory of the firm, the purpose of this paper is to examine the relationship between each facet of intellectual capital, productivity and firms’ performance and further investigate, heretofore neglected, a mediating effect of productivity in the relationship between each facet of intellectual capital and firms’ performance. Design/methodology/approach Data were garnered with a self-reported questionnaire from 232 firm managers working in various industries: banking, insurance, telecommunications and hotels. Reliability and validity of the instruments were

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6

Grant, Robert M., and Charles Baden-Fuller. "A KNOWLEDGE-BASED THEORY OF INTER-FIRM COLLABORATION." Academy of Management Proceedings 1995, no. 1 (1995): 17–21. http://dx.doi.org/10.5465/ambpp.1995.17536229.

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7

Lichtenstein, Sharman, and Alexia Hunter. "Toward a Receiver-Based Theory of Knowledge Sharing." International Journal of Knowledge Management 2, no. 1 (2006): 24–40. http://dx.doi.org/10.4018/jkm.2006010103.

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8

Fransson, Anders, Lars Håkanson, and Peter W. Liesch. "The underdetermined knowledge-based theory of the MNC." Journal of International Business Studies 42, no. 3 (2011): 427–35. http://dx.doi.org/10.1057/jibs.2011.6.

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9

Johannessen, Jon-Arild, Bjørn Olsen, and Johan Olaisen. "Aspects of innovation theory based on knowledge-management." International Journal of Information Management 19, no. 2 (1999): 121–39. http://dx.doi.org/10.1016/s0268-4012(99)00004-3.

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10

Yuan, Yana, and Huaqi Chai. "Knowledge fusion method based on fuzzy set theory." Journal of Intelligent & Fuzzy Systems 38, no. 4 (2020): 3971–79. http://dx.doi.org/10.3233/jifs-179622.

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11

Grant, Robert M. "Toward a knowledge-based theory of the firm." Strategic Management Journal 17, S2 (1996): 109–22. http://dx.doi.org/10.1002/smj.4250171110.

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12

RIBARIĆ, SLOBODAN. "KNOWLEDGE REPRESENTATION SCHEME BASED ON PETRI NET THEORY." International Journal of Pattern Recognition and Artificial Intelligence 02, no. 04 (1988): 691–700. http://dx.doi.org/10.1142/s0218001488000431.

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An original knowledge representation scheme named KRP based on Petri net theory is proposed. The formal description of the scheme, and the inference procedure similar to "intersection search" in semantic networks, are given.

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13

Hasan, H., and E. Gould. "Activity-based Knowledge Management Systems." Journal of Information & Knowledge Management 02, no. 02 (2003): 107–15. http://dx.doi.org/10.1142/s0219649203000048.

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This paper explores the design of computer-based systems that support the management of organisational knowledge. The information systems notions of databases and information architectures are extended to the search for a meaningful conceptual structure by which collective knowledge can be supported by existing information technologies. An "architecture" is presented where the key unit of analysis is human activity as proposed by the cultural–historical activity theory. This architecture has the richness of the activity theory philosophy and yet addresses the issues of practical implementation

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14

Bowman, Cliff, and Nardine Collier. "Deriving Three Knowledge “Forms” from the Knowledge Based Theory of the Firm." Academy of Management Proceedings 2012, no. 1 (2012): 11920. http://dx.doi.org/10.5465/ambpp.2012.11920abstract.

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15

Benbya, Hind. "Valuing Knowledge-Based Initiatives." International Journal of Knowledge Management 7, no. 1 (2011): 1–15. http://dx.doi.org/10.4018/jkm.2011010101.

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The objective of this paper is to provide an overview of the current state of theory and practice on valuing Knowledge-Based Initiatives (KBI). Drawing on the literature concerning IT and business value, this paper summarizes what is known about valuing IT-based initiatives, discusses the specificity of KBI and outline main challenges that continue to limit research in this area. This paper also examines how managers deal with these challenges and what metrics they use to assess knowledge value. These managerial insights are derived from interviews as well as empirical analysis of several Sili

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16

Zhang, Xi, Zhenjiao Chen, Doug Vogel, Minghui Yuan, and Chuanjie Guo. "Knowledge-sharing reward dynamics in knowledge management systems: Game theory-based empirical validation." Human Factors and Ergonomics in Manufacturing & Service Industries 20, no. 2 (2010): 103–22. http://dx.doi.org/10.1002/hfm.20203.

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17

Gibbins, Michael, and Sandy Q. Qu. "Eliciting Experts' Context Knowledge with Theory-Based Experiential Questionnaires." Behavioral Research in Accounting 17, no. 1 (2005): 71–88. http://dx.doi.org/10.2308/bria.2005.17.1.71.

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This paper describes a useful addition to behavioral researchers' set of research methods, supplementing and extending what can be learned from interviews, surveys, and experiments. The experiential questionnaire (EQ) is designed to study the context within which experts behave, guided by theory about that context and by extensive pre-testing with representatives of the target population of respondents. An EQ is built around expert respondents' experience of their context, the world in which they function, as represented by cases they have experienced and can describe in detail. The value of t

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18

Low, Kathleen Yi Jia, and Elsen Yen-Chen Ho. "A Knowledge-based Theory of the Multinational Economic Organization." Long Range Planning 49, no. 6 (2016): 641–47. http://dx.doi.org/10.1016/j.lrp.2015.12.004.

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19

Srikanth, Rajan. "A Graph Theory-Based Approach for Partitioning Knowledge Bases." ORSA Journal on Computing 7, no. 3 (1995): 286–97. http://dx.doi.org/10.1287/ijoc.7.3.286.

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20

Welch, Lawrence S. "The emergence of a knowledge-based theory of internationalisation." Prometheus 33, no. 4 (2015): 361–74. http://dx.doi.org/10.1080/08109028.2016.1207874.

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21

Ji, Wenfei, Tonghai Jiang, Meng Wang, Xinyu Tang, Guang Chen, and Shan Yang. "Online Knowledge Learning Model Based on Gravitational Field Theory." Applied Sciences 9, no. 15 (2019): 3195. http://dx.doi.org/10.3390/app9153195.

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Currently, low-dimensional embedded representation learning models are the mainstream approach in knowledge representation research, due to ease of calculation and ability to utilize the spatial relationship between knowledge areas, which benefit from static knowledge learning. However, these models cannot update and learn knowledge online. Although using update strategies to update the knowledge base has been proposed by some scholars, this still requires retraining of knowledge and does not use the previous learning parameters and models. TransOnLine, an online knowledge learning method base

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22

Assefa, Shimelis. "Coherent knowledge structure and theory-based approach to categorization." Proceedings of the American Society for Information Science and Technology 45, no. 1 (2009): 1–9. http://dx.doi.org/10.1002/meet.2008.14504503145.

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23

Maskell, P. "Towards a Knowledge-based Theory of the Geographical Cluster." Industrial and Corporate Change 10, no. 4 (2001): 921–43. http://dx.doi.org/10.1093/icc/10.4.921.

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24

Park, In-Kyoo. "Rough Entropy-based Knowledge Reduction using Rough Set Theory." Journal of Digital Convergence 12, no. 6 (2014): 223–29. http://dx.doi.org/10.14400/jdc.2014.12.6.223.

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25

Arias Aranda, Daniel, and Luis M. Molina‐Fernández. "Determinants of innovation through a knowledge‐based theory lens." Industrial Management & Data Systems 102, no. 5 (2002): 289–96. http://dx.doi.org/10.1108/02635570210428320.

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26

Kordnaeij, Asadollah, Mohsen Ebrahimi, Lotfollah Forozandeh Dehkordi, and Ali Asghar Fani. "Investigating fundamentals of knowledge based economy using grounded theory." Management Science Letters 4, no. 11 (2014): 2423–26. http://dx.doi.org/10.5267/j.msl.2014.10.005.

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27

Edwards-Jones, Gareth. "Knowledge-based systems for crop protection: theory and practice." Crop Protection 12, no. 8 (1993): 565–78. http://dx.doi.org/10.1016/0261-2194(93)90119-4.

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28

Fagin, Ronald, Joseph Y. Halpern, Yoram Moses, and Moshe Y. Vardi. "Knowledge-based programs." Distributed Computing 10, no. 4 (1997): 199–225. http://dx.doi.org/10.1007/s004460050038.

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29

Toiviainen, Hanna, and Hannele Kerosuo. "Development Curriculum for Knowledge-Based Organizations." International Journal of Knowledge-Based Organizations 3, no. 3 (2013): 1–18. http://dx.doi.org/10.4018/ijkbo.2013070101.

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This article presents arguments for designing tutoring models for learning networks of knowledge-based organizations, whose tasks increasingly involve the development of expertise and knowing. The potential is examined of a curriculum, when the object of learning, in-house development, is deeply situated in the knowledge practices of organizations, is cross-disciplinary and is beyond formal education. A sociocultural understanding of a curriculum is used to analyze a model that the authors developed in collaboration with the learning network of the South Savo region in Finland. The model in qu

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30

Ras, Zbigniew W. "Cooperative Knowledge-Based Systems." Intelligent Automation & Soft Computing 2, no. 2 (1996): 193–201. http://dx.doi.org/10.1080/10798587.1996.10750667.

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31

Smedley, Georgia A., and Steve G. Sutton. "Explanation Provision in Knowledge-Based Systems: A Theory-Driven Approach for Knowledge Transfer Designs." Journal of Emerging Technologies in Accounting 1, no. 1 (2004): 41–61. http://dx.doi.org/10.2308/jeta.2004.1.1.41.

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Knowledge-Based Systems (KBS) have been used in industry to free experts from mundane and routine decision making, to produce comparable and consistent decisions, and to retain the expertise of knowledgeable employees who may, for many reasons, leave a company. KBS are also desired to have the capacity to transfer knowledge to less-expert users of such systems. In this paper, Adaptive Character of Thought-Rational (ACT-R) theory is used as a foundation for the design of KBS explanations for the explicit purpose of facilitating knowledge transfer to the user. ACT-R (Anderson 1993) is a theory o

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32

Ding, Lian-Hong, Bin Sun, and Peng Shi. "Empirical study of knowledge network based on complex network theory." Acta Physica Sinica 68, no. 12 (2019): 128902. http://dx.doi.org/10.7498/aps.68.20190106.

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33

Ayriza, Yulia, Agus Triyanto, Farida Agus Setiawati, and Nanang Erma Gunawan. "Exploring Children’s Career Interests and Knowledge Based on Holland’s Theory." International Journal of Instruction 13, no. 4 (2020): 643–62. http://dx.doi.org/10.29333/iji.2020.13440a.

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34

Nowak-Brzezińska, Agnieszka. "Mining Rule-based Knowledge Bases Inspired by Rough Set Theory." Fundamenta Informaticae 148, no. 1-2 (2016): 35–50. http://dx.doi.org/10.3233/fi-2016-1421.

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35

Niu Huiqing, and Chen Hong. "Price Strategy of Online Knowledge Market Based on Game Theory." Journal of Convergence Information Technology 8, no. 11 (2013): 284–91. http://dx.doi.org/10.4156/jcit.vol8.issue11.32.

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36

Wakatabe, Masazumi. "“The Creation of Wealth”: John Rae's Knowledge-Based Growth Theory." Journal of the History of Economic Thought 20, no. 3 (1998): 329–47. http://dx.doi.org/10.1017/s1053837200002169.

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John Rae is best known for his contribution to capital theory, particularly to Austrian capital theory. J. A. Schumpeter's (1954) assessment is typical in the literature: “two cornerstones of [Böhm-Bawerk]'s structure–one of them also a cornerstone of [Nassau] Senior's–are in fact there” (Schumpeter, 1954, pp. 468-69). Although this seems to have been the standard perception (see also Dorfman, 1995, p. 21), there is growing appreciation that Rae had a theory of economic development, rather than only a theory of capital. As Klaus Hennings put it: “Rae ascribes to inventions a more important rol

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37

Styhre, Alexander. "Science-based innovation: the blind spot of knowledge management theory." Knowledge Management Research & Practice 3, no. 4 (2005): 197–205. http://dx.doi.org/10.1057/palgrave.kmrp.8500069.

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38

Conner, Kathleen R., and C. K. Prahalad. "A Resource-Based Theory of the Firm: Knowledge Versus Opportunism." Organization Science 7, no. 5 (1996): 477–501. http://dx.doi.org/10.1287/orsc.7.5.477.

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39

Edwards, Karen, and Nancy L. Gibson. "Knowledge Profiling as Emergent Theory in Community-Based Participatory Research." Progress in Community Health Partnerships: Research, Education, and Action 2, no. 1 (2008): 73–79. http://dx.doi.org/10.1353/cpr.2008.0001.

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40

Runyan, Lin. "The Reclassification of Technological Knowledge Based on the Modularity Theory." International Journal of Philosophy 7, no. 2 (2019): 87. http://dx.doi.org/10.11648/j.ijp.20190702.17.

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41

Young, Michael. "Overcoming the crisis in curriculum theory: a knowledge-based approach." Journal of Curriculum Studies 45, no. 2 (2013): 101–18. http://dx.doi.org/10.1080/00220272.2013.764505.

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42

Korossy, Klaus, and Theo Held. "Theory-based knowledge modeling in a subdomain of elementary algebra." Zeitschrift für Psychologie / Journal of Psychology 209, no. 3 (2001): 277–315. http://dx.doi.org/10.1026//0044-3409.209.3.277.

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Summary. The knowledge structures theory has been developing highly efficient computer-based procedures for the assessment of knowledge. However, a crucial precondition of a practical application of these assessment procedures in some knowledge domain is the establishment of a psychologically valid knowledge structure capturing the solvability dependencies among items of the domain. Several approaches for establishing a knowledge structure have been developed - each with its benefits and drawbacks. In an earlier paper ( Held and Korossy, 1998 ) we contrasted an a-priori structure generated by

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43

Zouari, Alaeddine, Michel Tollenaere, Habib Ben Bacha, and Aref Younes Maalej. "Can C-K theory apply to Knowledge-Based Engineering systems?" International Journal of Product Lifecycle Management 2, no. 3 (2007): 228. http://dx.doi.org/10.1504/ijplm.2007.016291.

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44

Spender, J. C. "Pluralist Epistemology and the Knowledge-Based Theory of the Firm." Organization 5, no. 2 (1998): 233–56. http://dx.doi.org/10.1177/135050849852005.

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45

Edwards, John S. "Managing flow: a process theory of the knowledge-based firm." Knowledge Management Research & Practice 7, no. 1 (2009): 113–15. http://dx.doi.org/10.1057/kmrp.2008.39.

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46

Yang, Chen-Wei, Shih-Chieh Fang, and Julia L. Lin. "Rethinking the theory of the hospital: a knowledge-based view." Service Industries Journal 32, no. 12 (2012): 1923–36. http://dx.doi.org/10.1080/02642069.2010.545877.

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47

Gutiérrez, Lorraine M., Kathryn A. Delois, and Linnea Glenmaye. "Understanding Empowerment Practice: Building on Practitioner-Based Knowledge." Families in Society: The Journal of Contemporary Social Services 76, no. 9 (1995): 534–42. http://dx.doi.org/10.1177/104438949507600903.

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The concept of empowerment has become popular within the human service professions, but little agreement about its meaning or dimensions has been displayed. The authors describe an effort to clarify this elusive concept by integrating theory with practitioner perspectives. A focused, multiple-case-study method was used to gather the perspectives of human services workers on empowerment practice in the field. The authors identify areas of convergence and divergence between empowerment theory and practice.

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48

Song, Xin, Lei Wang, and Wei Guo. "Study on Knowledge-Based Cutter Head Design Theory of Shield Tunneling." Advanced Materials Research 694-697 (May 2013): 3131–35. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3131.

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A knowledge-based cutter head design theory of shield tunneling is proposed because of lacking integrated cutter head design theory in China. A three-dimensional theory system is structured by the Hall three-dimensional theory. The basic concepts of the mentioned theory and connotations of knowledge model which takes cutter head of EPB shield tunneling as an example are also expounded in detail. The application in practice shows that the knowledge-based cutter head design theory is feasible. It is important to improve design quality, efficiency and reduce cost in cutter head design.

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49

Huang, Sue-Fen. "Cognitive diagnostic assessment based on knowledge structure." MATEC Web of Conferences 169 (2018): 01020. http://dx.doi.org/10.1051/matecconf/201816901020.

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The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. In order to insight the misconception of learning basic mathematics and progress teaching. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modelling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. In this paper, some well-known knowledge structure assessment methods will be discussed. For item connection, Bart et al ordering theory and T

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50

Franz, Peter. "Knowledge spill-overs for knowledge-based development: progression in theory and obstacles for empirical research." International Journal of Knowledge-Based Development 1, no. 1/2 (2010): 25. http://dx.doi.org/10.1504/ijkbd.2010.032584.

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