Dynamic Intuitionistic Fuzzy Evaluation of Entrepreneurial Support in Countries

2017 ◽  
pp. 38-47
Author(s):  
Sezi Cevik Onar ◽  
Basar Oztaysi ◽  
Cengiz Kahraman
Keyword(s):  
Fuzzy Evaluation ◽  
Intuitionistic Fuzzy

scholarly journals A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 298 ◽  
Author(s):  
Zhijia Yan ◽  
Wenting Yang ◽  
Xiaoling Huang ◽  
Xiangrong Shi ◽  
Wenyu Zhang
Keyword(s):  
Supplier Selection ◽  
Comprehensive Evaluation ◽  
Hybrid Approach ◽  
Intuitionistic Fuzzy Set ◽  
Weighted Average ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Entropy ◽  
Entropy Weight Method

Selecting optimal suppliers in fuzzy environments has become a major challenge for enterprises. Reputation plays an important role in the process of supplier selection because of its fuzziness, dynamicity, and transitivity. In this study, we first present a novel intuitionistic fuzzy sets (IFS)-hyperlink-induced topic search (HITS) method that combines the intuitionistic fuzzy set with the hyperlink-induced topic search (HITS) algorithm to extend the ability of processing fuzzy information in order to obtain post-propagated reputation values of suppliers. Then, we employ the dynamic intuitionistic fuzzy weighted average operator to gain dynamic reputation values and other evaluation attribute values. After that, intuitionistic fuzzy entropy weight method is adopted to acquire more accurate weights for each evaluation attribute. Finally, we employ the Vlsekriterijumska Optimizacija I Kompromisno Resenje method to acquire comprehensive evaluation values of candidate supplier to select optimal suppliers. Two groups of experiments for supplier selection are given to explain feasibility and practicality of the proposed method.

scholarly journals Application of Intuitionistic Fuzzy Evaluation Method in Aircraft Cockpit Display Ergonomics

2021 ◽  
Author(s):  
Hui Liu ◽  
Chengli Sun ◽  
Jiliang Tu
Keyword(s):  
Evaluation Method ◽  
Fuzzy Evaluation ◽  
Display Design ◽  
Cockpit Display ◽  
Intuitionistic Fuzzy ◽  
Geometric Average ◽  
Degree Function ◽  
Hesitation Degree ◽  
Evaluation Matrix ◽  
Ergonomic Evaluation

The ergonomic level of cockpit display design can be improved by establishing an objective and effective method for evaluating the ergonomics of the cockpit display. Given the fuzz problem in ergonomic evaluation, a new intuitionistic fuzzy evaluation method is proposed based on the Intuitionistic Fuzzy Ordered Weighted Geometric Average (IFOWGA) operator and the possible degree function in this work. Firstly, the intuitionistic fuzzy evaluation matrix considering the hesitation degree of experts' determination is first constructed as the basis of intuitionistic fuzzy evaluation. Secondly, using the IFOWGA operator the intuitionistic fuzzy evaluation values are obtained through aggregating the evaluation matrix. And these values are ranked to get the level of ergonomic evaluation by possible degree ranking function. Finally, an evaluation example based on the cockpit display of a certain aircraft is given to verify the effectiveness of the proposed approach. Six alternatives of the evaluation result are obtained by the aggregation of the IFOWGA operator. Applied the possible degree function, the ergonomic evaluation grade of the aircraft cockpit display is the second level by ranking the alternative sand the variation of intuitionistic fuzzy value is already small when the number of experts is more than 16. It can be shown from the results that the ergonomic level of cockpit display can be objectively and scientifically evaluated by the proposed quantitative method, and it can provide a theoretical basis and practical methods for improving the ergonomic level of cockpit display design.

scholarly journals Intuitionistic fuzzy evaluation of artificial neural network model

2021 ◽  
Vol 27 (4) ◽  
pp. 71-77
Author(s):  
Todor Petkov ◽  
◽  
Veselina Bureva ◽  
Stanislav Popov ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Supervised Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Artificial Neural Network Model ◽  
Medical Data ◽  
Fuzzy Evaluation ◽  
Intuitionistic Fuzzy ◽  
Artificial Neural

In this paper a method that evaluates a trained artificial neural network is presented. The learning type of an artificial neural network is supervised learning which requires labeled input training vectors. Labeled medical data is provided to train the network, where the labels can either be 1 if the person is alive, or 0 if the person has deceased. The data is divided into training and validation vectors. The validation input vectors are used to evaluate the model and the results are summarized by using intuitionistic fuzzy values.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

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