ASSESSMENT INSTRUMENTS AS PREDICTORS OF SUCCESS FOR CHILDREN WITH HEARING IMPAIRMENT IN THE MAINSTREAM CLASSROOM: A FUZZY MATHEMATICS APPROACH
| Autor: | John N. Mordeson, Karen K. Rossi, Lisa R. Burton, Lynne E. Houtz, Jenna M. Voss |
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| Rok vydání: | 2008 |
| Předmět: |
business.industry
Applied Mathematics Assessment instrument Fuzzy logic Preference Computer Science Applications Group decision-making Human-Computer Interaction Fuzzy modelling Computational Mathematics Computational Theory and Mathematics Fuzzy mathematics Mathematics education Mainstream Artificial intelligence ComputingMethodologies_GENERAL Assessment instruments hard of hearing children group decision under fuzzy preferences fuzzy outranking relations fuzzy modelling business Psychology School system |
| Zdroj: | New Mathematics and Natural Computation. (01):23-39 |
| Popis: | We use for the first time fuzzy mathematics to aid in the determination of which tests of preschool, hard of hearing and deaf children are the best predictors of success when these students are mainstreamed in the public school system. The techniques are those of group decision making and consensus under fuzzy preferences and fuzzy majority and techniques of fuzzy outranking relations in preference modelling. |
| Databáze: | OpenAIRE |
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