Evaluation Method of Impoverished Students in Western Ethnic Areas Based on Intuitionistic Trapezoidal Fuzzy TOPSIS Algorithm

2019 ◽  
Vol 08 (08) ◽  
pp. 1327-1335
Author(s):  
海波 王
Keyword(s):  
Evaluation Method ◽  
Fuzzy Topsis ◽  
Impoverished Students

Evaluation Method of Truck Drivers' Emergency Response Capability Based on Fuzzy TOPSIS

CICTP 2012 ◽  
2012 ◽  
Author(s):  
Haoxue Song ◽  
Yong Zhang ◽  
Jing Ding ◽  
Zichao Ye ◽  
Yuanyuan Hong
Keyword(s):  
Emergency Response ◽  
Evaluation Method ◽  
Fuzzy Topsis ◽  
Truck Drivers ◽  
Response Capability

scholarly journals Comprehensive Assessment of Distance Learning Modules by Fuzzy AHP-TOPSIS Method

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 409
Author(s):  
Svajone Bekesiene ◽  
Aidas Vasilis Vasiliauskas ◽  
Šárka Hošková-Mayerová ◽  
Virgilija Vasilienė-Vasiliauskienė
Keyword(s):  
Decision Making ◽  
Distance Learning ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Evaluation Methodology ◽  
Practical Implementation ◽  
Ideal Solution ◽  
Analysis Method

This survey is focussed on distance learning studies, where there can be met a lot of technical obstacles, which creates complications in decision making. To get an ideal solution for these kinds of problems, the Fuzzy TOPSIS (Technique for Order Preference by Similarities to Ideal Solution) is one of the best solutions. Therefore, this paper presents the distance learning quality assessment surveys when the Fuzzy AHP (Analytic Hierarchy Process) and TOPSIS methods are used. Research results describe the application of the Fuzzy AHP—TOPSIS hybrid method. MCDM (Multi-Criteria Decision Making) programs with MATLAB (R2020b) mathematical package were written to calculate the evaluation results for three distance learning courses. In the practical implementation of the proposed distance learning module evaluation methodology, the experts’ evaluation method was applied. Thirty-four judges were chosen with specific knowledge and skills and with very different competencies to assess three alternatives by fourteen criteria. Following the experts’ evaluation, a statistical analysis method was used to process the data. After applying the complex evaluation, the comparative analysis method was used to summarize the obtained results. This work further provides useful guidelines for the development of an easily understandable hierarchy of criteria model that reflects the main goal of study quality assessment.

Evaluation Method for Matching Program of Tractor and Trailer Based on Fuzzy TOPSIS

LISS 2013 ◽  
2013 ◽  
pp. 1135-1141
Author(s):  
Qilai Cao ◽  
Yong Zhang ◽  
Shun Zhou ◽  
Aihong Zhang ◽  
Baopeng Li
Keyword(s):  
Evaluation Method ◽  
Fuzzy Topsis

scholarly journals A Novel Approach of Integrating Natural Language Processing Techniques with Fuzzy TOPSIS for Product Evaluation

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 120
Author(s):  
Tianxiong Wang
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Product Design ◽  
Language Processing ◽  
Evaluation Method ◽  
Product Evaluation ◽  
Fuzzy Topsis ◽  
Practical Significance ◽  
Processing Techniques ◽  
Product Forms

Product designers need to fully understand consumers’ emotional preferences and responses for product forms to improve products. However, users and designers have different understandings and concepts in the product evaluation process, which will lead to cognitive asymmetry in the product design and evaluating process. This phenomenon prevents designers to grasp users’ needs, increasing the risk of product development failure. To this end, this paper proposes a product evaluation method that combines natural language processing techniques and fuzzy multi-criteria decision-making into a new integrated way to reduce the cognitive difference between users and designers, so as to solve the problem of cognitive asymmetry. This was done firstly by obtaining the review data of products from users on the Internet, based on a web crawler, and then constructing word vectors based on natural language processing techniques to realize the parametric expression of the Kansei image. Secondly, by using a statistical method to extract the product scheme that meets the preferences of users and designers, and then quantifying the relationship between the product form and Kansei image based on a grey relational analysis (GRA). Finally, by calculating the indicator weight based on the Entropy method and using the fuzzy TOPSIS method to explore the prioritization of the product design alternatives in view of the Kansei needs of users. Taking the smart capsule coffee machine as an example, the feasibility and effectiveness of this method are verified. In particular, the method proposed in this research can not only enable different cognitive subjects to achieve cognitive symmetry, but also filter out product forms that meet the cognitive needs of users. Moreover, this study provides a theoretical basis and practical significance for reducing the cognitive differences between cognitive subjects in the whole process of product design, and provides a systematic framework for the industry to effectively connect customer needs and product design decisions. At the same time, this study has introduced a new method for Kansei engineering.

scholarly journals Fuzzy TOPSIS-EW Method with Multi-Granularity Linguistic Assessment Information for Emergency Logistics Performance Evaluation

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1331
Author(s):  
Yanwu Liu ◽  
Liang Li ◽  
Yan Tu ◽  
Yanlan Mei
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Topsis ◽  
Entropy Weight ◽  
Emergency Logistics ◽  
Order Preference ◽  
Response And Recovery ◽  
Linguistic Assessment ◽  
Linguistic Assessment Information

The operation of emergency logistics plays a prominent role in reducing the consequences of disasters. Based on the establishment of a comprehensive evaluation system with the whole period of the disaster cycle that covers emergency preparation, response, and recovery, this paper proposes a fuzzy-symmetrical Technique for Order Preference by Similarity to Ideal Solution-Entropy Weight (TOPSIS-EW) method with multi-granularity linguistic assessment (MGLA) information to evaluate the performance of emergency logistics. Furthermore, the proposed evaluation method is employed to evaluate the performance of emergency logistics in Wenchuan earthquake, five worst-hit regions (i.e., Wenchuan County, Beichuan County, Qingchuan County, Mianzhu City, Shifang City) were ranked as V, III, I, II, IV, respectively. Finally, the effectiveness and reliability of the method are verified by comparison with the other two related methods and a sensitivity analysis. Based on the comprehensive evaluation results, some specific managerial suggestions are proposed to improve the emergency logistics capacity.

A Fuzzy TOPSIS based Approach for ITSM Software Selection

2014 ◽  
Vol 5 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Saeed Rouhani ◽  
Ahad Zare Ravasan
Keyword(s):  
Selection Criteria ◽  
Service Management ◽  
Evaluation Method ◽  
Fuzzy Topsis ◽  
Service Improvement ◽  
Fuzzy Evaluation ◽  
It Services ◽  
Functional Requirements ◽  
Software Selection ◽  
Order Preference

Nowadays a growing interest in Information Technology Service Management (ITSM) proves the trends and needs of their implementation in organizations. In order to implement an ITSM project successfully in an organization, it is essential to select a suitable ITSM software. Evaluation and selection of the ITSM software packages is complicated and time consuming decision making process. This paper presents an approach for dealing with such a problem. This approach introduces functional, non-functional and fuzzy evaluation method for ITSM software selection. The presented ITIL based approach breaks down ITSM software selection criteria into two broad categories namely functional (service strategy, service design, service transition, service operation, continual service improvement according to ITIL V3) and non-functional requirements (quality, technical, vendor, implementation) including totally 46 selection criteria. A facile Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) was customized for ITSM software selection based on identified criteria. The proposed approach is applied to a local Iranian company in the field of IT services in order to select and acquire an ITSM software and the provided numerical example illustrates the applicability of the approach for ITSM software selection. The approach can help practitioners assess ITSM software more properly and have a better software acquisition decision with growth in customer satisfaction and service time reduction.

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