Multi-perspective collaborative scheduling using extended genetic algorithm with interval-valued intuitionistic fuzzy entropy weight method

2019 ◽  
Vol 53 ◽  
pp. 249-260 ◽  
Author(s):  
Wenyu Zhang ◽  
Jiepin Ding ◽  
Yan Wang ◽  
Shuai Zhang ◽  
Zhiying Xiong
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Entropy ◽  
Entropy Weight ◽  
Intuitionistic Fuzzy ◽  
Collaborative Scheduling ◽  
Intuitionistic Fuzzy Entropy ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Interval Valued

Hubs Planning of Comprehensive Passenger Transportation Based on Fuzzy Entropy Weight Method

2012 ◽  
Vol 253-255 ◽  
pp. 1188-1194
Author(s):  
Shen E Xi
Keyword(s):  
Evaluation Model ◽  
Rapid Development ◽  
Indicator System ◽  
Fuzzy Entropy ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Traffic Demand ◽  
Forming Mechanism ◽  
Entropy Weight Method ◽  
Weight Method

With the rapid development of highway construction, quickly increasing passenger traffic demand, the importance of layout planning of highway passenger terminal is becoming more obvious. Based on analyzing the forming mechanism of a passenger transport hub, an evaluation indicator system was established for a comprehensive transport hub from the perspectives of transport demand and supply. For overcoming the subjectivity, entropy theory was applied to determine the various indicator weights with fuzzy evaluation model. Finally, the indicator system and fuzzy entropy weight method were applied in Jiangsu province as a case study.

scholarly journals A Study of Rural Logistics Center Location Based on Intuitionistic Fuzzy TOPSIS

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Yan Zhang ◽  
Yingying Zhang ◽  
Yanfeng Li ◽  
Sen Liu ◽  
Junai Yang
Keyword(s):  
Fuzzy Topsis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Logistics Center ◽  
Intuitionistic Fuzzy ◽  
Center Location ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Intuitionistic Fuzzy Topsis

In recent years, with the development of the rural e-commerce, the importance of rural logistics has been widely recognized. The selection of rural logistics center is a crucial part in products circulation, because an unreasonable location of rural logistics can cause a circulation problem and product waste. In this paper, we propose a rural logistics center location model based on the theory of intuitionistic fuzzy TOPSIS. First, we integrate the information according to experts’ score based on the evaluation index system. Second, we use the entropy weight method to determine the weight of each evaluation index. Third, we rank the results by using the intuitionistic fuzzy TOPSIS method. Finally, an illustrative example will be used to prove the validity and feasibility of the proposed method.

scholarly journals An Effective Interval-Valued Intuitionistic Fuzzy Entropy to Evaluate Entrepreneurship Orientation of Online P2P Lending Platforms

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaohong Chen ◽  
Li Yang ◽  
Pei Wang ◽  
Wei Yue
Keyword(s):  
Fuzzy Sets ◽  
Intuitionistic Fuzzy Sets ◽  
Fuzzy Entropy ◽  
Evaluation Procedure ◽  
Entropy Measure ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Entropy ◽  
Essential Properties ◽  
P2p Lending ◽  
Interval Valued

This paper describes an approach to measure the entrepreneurship orientation of online P2P lending platforms. The limitations of existing methods for calculating entropy of interval-valued intuitionistic fuzzy sets (IVIFSs) are significantly improved by a new entropy measure of IVIFS considered in this paper, and then the essential properties of the proposed entropy are introduced. Moreover, an evaluation procedure is proposed to measure entrepreneurship orientation of online P2P lending platforms. Finally, a case is used to demonstrate the effectiveness of this method.

scholarly journals A New Type of Compositive Information Entropy for IvIFS and Its Applications

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Junjun Mao ◽  
Yuan Zhao ◽  
Chuang Ma
Keyword(s):  
Intuitionistic Fuzzy Set ◽  
Fuzzy Entropy ◽  
Entropy Measure ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Entropy ◽  
Entropy Measures ◽  
New Type ◽  
Definition Of ◽  
Multiple Attributes Decision Making ◽  
Interval Valued

We first show the interval-valued intuitionistic fuzzy entropy which reflects intuitionism and fuzziness of interval-valued intuitionistic fuzzy set (IvIFS) based on interval-valued intuitionistic fuzzy cross-entropy. As for intuitionism and fuzziness of IvIFS, we propose interval-valued intuitionistic entropy and interval-valued fuzzy entropy, respectively. Furthermore, we establish the interval-valued span entropy describing the uncertainty of membership degree and nonmembership degree and show some concrete measure formulas. Combining intuitionistic factor, fuzzy factor, and span factor, we ultimately put forward the axiomatic definition of the compositive entropy and give a measure formula of compositive entropy. In addition, the effectiveness of the compositive entropy measure is illuminated by comparison with other entropy measures. Furthermore, the compositive entropy is applied to multiple attributes’ decision-making by using the weighted correlation coefficient between IvIFSs and pattern recognition by a similarity measure transformed from the compositive entropy.

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.

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