scholarly journals Fuzzy Linguistic Variable Matrix and Parabola-Based Fuzzy Normal Distribution

2007 ◽  
pp. 205-215 ◽  
Author(s):  
K. K. F. Yuen ◽  
H. G. W. Lau
Keyword(s):  
Normal Distribution ◽  
Linguistic Variable ◽  
Fuzzy Linguistic Variable ◽  
Fuzzy Linguistic ◽  
Fuzzy Normal Distribution

Interval probability hesitant fuzzy linguistic analytic hierarchy process and its application in talent selection

2020 ◽  
Vol 39 (3) ◽  
pp. 2627-2645
Author(s):  
Sidong Xian ◽  
Hailin Guo ◽  
Jiahui Chai ◽  
Wenhua Wan
Keyword(s):  
Linguistic Variable ◽  
Interval Probability ◽  
Priority Vector ◽  
Operation Rules ◽  
Possibility Degree ◽  
Talent Selection ◽  
Multiple Attribute ◽  
Geometric Consistency ◽  
Fuzzy Linguistic Variable ◽  
Fuzzy Linguistic

Hesitant fuzzy linguistic term set (HFLTS) can handle the qualitative and hesitant information in multiple attribute decision making (MADM) problems which are widely used in various fields. However, the experts’ evaluation of information is not completely reliable in the situation where their own knowledge background is insufficient. In order to deal with deviations due to incomplete reliability of the evaluation, this paper first proposes the interval probability hesitant fuzzy linguistic variable (IPHFLV), which takes the HFLTS as the evaluation part and adds a novel element-reliability of evaluation, thus can describe the different credibility of information evaluation due to the familiarity of experts with schemes and the differences in knowledge cognition. The operation rules and comparison methods are also illustrated. Particularly, under the inspiration of probability theory, we propose the possibility degree of the IPHFLVs. Then we propose IPHFL-AHP based on the AHP and interval probability hesitant fuzzy linguistic variable. Especially, the general geometric consistency index (G-GCI) based on the unbiased estimator of the variance is presented to measure the consistency and the iterative algorithm is constructed to improve the consistency. We use the possibility degree to calculate the priority vector to acquire the total ranking and introduce the process of IPHFL-AHP. Finally, case study of talent selection is given to illustrate the effectiveness and feasibility of the proposed method.

Risk Assessment Model with 2-Tuple Temporal Linguistic Variable

2011 ◽  
Vol 58-60 ◽  
pp. 2540-2545 ◽  
Author(s):  
Sheng Han Zhou ◽  
Wen Bing Chang ◽  
Ze Jian Xiong
Keyword(s):  
Risk Assessment ◽  
Temporal Information ◽  
Assessment Model ◽  
Linguistic Variable ◽  
Risk Assessment Model ◽  
Risk Matrix ◽  
New Model ◽  
Fuzzy Linguistic Variable ◽  
Fuzzy Linguistic ◽  
Assessment Result

The paper aims to develop a risk assessment model with the fuzzy temporal information. The traditional model assess risk with the risk matrix method. And the method rank the risks without regard to the with the temporal information to assess the risk. The model integrates the method of 2-tuple linguistic and temporal linguistic variable. The improved concept defines the transition symbols operator as the projection of temporal term on the fuzzy linguistic variable. The new model may deal with the temporal information in the fuzzy linguistic judgements. The emprical research give a example by applying the new method. The result of example show that the new model can provide the worthwhile temporal information in the assessment result. temporal element temporal element temporal element temporal element

scholarly journals Fuzzy Integrated Ontology Model of Dynamic Learner Profiling

2019 ◽  
Vol 8 (12) ◽  
pp. 1549-1558
Keyword(s):  
Lifelong Learning ◽  
Learning Style ◽  
Linguistic Variable ◽  
Semantic Retrieval ◽  
Dynamic Data ◽  
Learning Preference ◽  
Ontology Model ◽  
Learner Profile ◽  
Fuzzy Linguistic Variable ◽  
Fuzzy Linguistic

In the context of lifelong learning, learner profile has emerged as a feasible model that support and promote the provision of lifelong learning opportunities. Learner profile describes the attributes and outcomes of education in a learning system. It includes information on learner’s gender, skills, education, interest, learning preferences, learning style, etc. This paper proposes an approach to construct a fuzzy based semantic learner profile in the promising technology of semantic web by using the concept of ontology and use it for the reasoning of learner preferences. The approach starts with the collection of learner’s static and dynamic data. The dynamic data of learner particularly learner interest and learning style are extracted by weblog analysis and using algorithms such as semantic based representation using WordNet and modified decision tree classifier with strong rules based on Felder-Silverman learning style model. The retrieved data is then used to construct learner profile using ontology in which automatic learner profile updating is obtained using ontology based semantic similarity algorithm. Finally to achieve semantic retrieval from learner profile ontology, fuzzy concepts such as fuzzy linguistic variable and fuzzy IF THEN rules are applied. Fuzzy linguistic variable facilitate semantic retrieval and more specific classification from learner profile ontology and fuzzy IF THEN rules predict the learning preference of new students based on the forward chaining reasoning process implemented in the existing ontology model. The final representation of semantic fuzzy ontology based learner profile improves the performance of tasks such as classification, semantic retrieval and prediction of learning preference to the new learners. The case study is conducted for the real-time learners involved in studying the courses registered in Moodle Learning Management System. The experiments were performed with NetBeans IDE, Jena framework and Protégé 4.2 beta editor. The experiments confirm that the proposed learner profile is a good representation of the learner's preferences.

Credibility Hypothesis Testing of Variance of Fuzzy Normal Distribution

2017 ◽  
pp. 193-220
Author(s):  
S. Sampath ◽  
B. Ramya
Keyword(s):  
Hypothesis Testing ◽  
Normal Distribution ◽  
Test Procedures ◽  
Rejection Region ◽  
Ratio Criterion ◽  
Expected Values ◽  
Fuzzy Normal Distribution

This paper considers the problem of developing test procedures for testing credibility hypotheses about the variance of fuzzy normal distribution assuming the expected values of the distributions mentioned under null and alternative credibility hypotheses are known and equal. The cases where the underlying hypothesis is simple and composite (one sided) are considered. Tests have been derived with the help of the membership ratio criterion. Properties possessed by the developed tests, like best credibility rejection region and uniformly best rejection region have been studied. Examples are also given to illustrate the usage of the derived tests.

Fuzzy Knowledge Representation Based on Fuzzy Linguistic Variable Ontology and SWRL on the Semantic Web

2011 ◽  
Vol 58-60 ◽  
pp. 1707-1711
Author(s):  
Yan Ling Li ◽  
Yi Duo Liang ◽  
Jun Zhai
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Web Applications ◽  
Fuzzy Rule ◽  
Linguistic Variables ◽  
Semantic Relationships ◽  
Rule Management ◽  
Fuzzy Linguistic Variable ◽  
Fuzzy Linguistic ◽  
Fuzzy Knowledge

Ontology is adopted as a standard for knowledge representation on the Semantic Web, and Ontology Web Language (OWL) is used to add structure and meaning to web applications. In order to share and resue the fuzzy knowledge on the Semantic Web, we propose the fuzzy linguistic variables ontology (FLVO), which utilizes ontology to represent formally the fuzzy linguistic variables and defines the semantic relationships between fuzzy concepts. Then fuzzy rules are described in Semantic Web Rule Language (SWRL) on the basis of FLVO model. Taking a sample case for students’ performance in physics for example, the fuzzy rule management system is built by using the tool protégé and SWRLTab, which shows that this research enables distributed fuzzy applications on the Semantic Web.

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