Using fuzzy numbers in educational grading system
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Cited by (114)
Evaluation measures for cluster ensembles based on a fuzzy generalized Rand index
2017, Applied Soft ComputingMultiple criteria decision-making methods with completely unknown weights in hesitant fuzzy linguistic term setting
2016, Knowledge-Based SystemsCitation Excerpt :This shows that the use of linguistic terms makes experts judgment more reliable and informative for decision making. The linguistic approach is an approximate technique which can be used in different fields, such as, marketing [39], clinical diagnosis [7], decision making [8], risk in software development [17], education [16], technology transfer strategy selection [4], information retrieval [2], etc. However, the implementation of linguistic approaches has some serious limitation due to the fact that these approaches assess a linguistic variable by using a single or simple linguistic terms.
A construction of sound semantic linguistic scales using 4-tuple representation of term semantics
2014, International Journal of Approximate ReasoningEvaluating students' answerscripts based on interval-valued intuitionistic fuzzy sets
2013, Information SciencesCitation Excerpt :However, the drawbacks of the methods presented in [14,17,19–21] are that they cannot deal with the fuzziness in the process of students’ evaluation. In recent years, some methods [3–5,7–9,11–13,16,18,22–25] have been presented for students’ evaluation based on fuzzy sets [28] to deal with the fuzziness in the process of students’ evaluation. In [11], Cheng and Yang presented a method using fuzzy sets in education grading systems to solve the subjective judging problems of teachers.
On the possibility of fuzzy method and its mathematical framework in OBE measurements
2013, Knowledge-Based Systems