In recent years, cultural and creative industry park is becoming a kind of hot industry to promote industrial restructuring and to improve the quality of urban space. For this reason, cultural and creative industrial parks are planning to build across the country. Currently, cultural and creative industrial parks that develop better than others thank to the government’s overall planning, construction, marketing, and management. At the same time, the new cultural and creative industry parks face enormous challenges, such as how to have together the cultural and creative industries and related groups or how to have area cultural creativity. And it is frequently regarded as a multiattribute group decision-making (MAGDM) process. Thus, a novel MAGDM process is needed to tackle it. Depending on the conventional grey relational analysis (GRA) method and intuitionistic fuzzy sets (IFSs), this paper designs a novel intuitive distance-based IF-GRA method for development potentiality evaluation of cultural and creative garden. First of all, some necessary theories related to IFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria are decided objectively by utilizing the CRITIC method. Afterwards, relying on novel distance measures between IFSs, the GRA method is extended to the IFSs to calculate assessment score of each alternative. Eventually, an application about development potentiality evaluation of cultural and creative garden and some comparative analysis is given. The results think that the designed method is useful for development potentiality evaluation of cultural and creative garden.

/pdf/gra-and-critic-method-for-intuitionistic-fuzzy-1mln1qz6h5.pdf

GRA and CRITIC Method for Intuitionistic Fuzzy Multiattribute Group Decision Making and Application to Development Potentiality Evaluation of Cultural and Creative Garden

Application of multi-attribute group decision-making methods in urban road traffic safety evaluation with interval-valued intuitionistic fuzzy information

Intelligent transportation system (ITS) is the development direction of the future traffic system ITS can effectively employ the existing traffic facilities and ensure the safety of traffic, urban traffic, and public security management for effective control in order to satisfy people’s travel demand Therefore, the results of the system in-depth understanding and objective evaluation are very necessary And it is frequently regarded as a multiattribute group decision-making (MAGDM) issue Thus, a novel MAGDM method is required to tackle it Depending on the conventional multiattributive border approximation area comparison (MABAC) method and intuitionistic fuzzy sets (IFSs), this article designs a novel intuitive distance-based IF-MABAC method to assess the performance of financial management First of all, a related literature review is conducted Furthermore, some necessary theories related to IFSs are briefly reviewed In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria are decided objectively by utilizing the maximizing deviation method Afterwards, relying on novel distance measures between intuitionistic fuzzy numbers (IFNs), the conventional MABAC method is extended to the IFSs to calculate the final value of each enterprise Therefore, all enterprises can be ranked, and the one with the best environmental behaviors and awareness can be identified Eventually, an application for evaluating the intelligent transportation system and some comparative analyses have been given The results illustrate that the designed algorithm is useful for assessing the performance of financial management

/pdf/if-mabac-method-for-evaluating-the-intelligent-38ltk9r60g.pdf

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

With global resource waste and environmental pollution becoming increasingly serious, corporate environmental performance (CEP) has received much attention from researchers over the past decade. As an important part of economic development, enterprises also pay increasingly attention to environmental protection and pollution control. CEP is regarded as the result of corporate environmental management. Assessing CEP can not only make enterprises focus on the environmental protection and management, but also promote sustainable social development. And it is frequently viewed as a multi-attribute group decision-making (MAGDM) issue. Thus, a novel MAGDM method is needed to tackle it. Depending on the conventional TOPSIS (Technique for Order Preferenceby Similarity to Ideal Solution) method and intuitionistic fuzzy sets (IFSs), this essay design a novel intuitive distance based IF-TOPSIS method to assess CEP. First of all, a related literature review is conducted. What’s more, some necessary theories related to IFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria is decided objectively by utilizing CRITIC method. Afterwards, relying on novel distance measures between IFNs, the conventional TOPSIS method is extended to the intuitionistic fuzzy environment to calculate assessment score of each enterprise. Eventually, an application about CEP evaluation and some comparative analysis have been given to demonstrate the superiority of the designed method. The results illustrate that the designed framework is useful for assessing CEP.

TOPSIS Model for evaluating the corporate environmental performance under intuitionistic fuzzy environment

After entering the 21st century, China’s national economy has shown a rapid growth momentum, the comprehensive transportation system has been continuously improved, the road traffic infrastructure has made remarkable achievements, and the modern logistics industry has also risen rapidly and grown rapidly, which has greatly changed the market demand for road transport hubs. The road transport hub is the main node of the road transport network, the hub of passenger and freight distribution of road transport, and the organizational center for the interconnection of road transport and other transport modes and the development of comprehensive transport. Highway transportation hub is an important part of highway transportation infrastructure and plays an important role in highway transportation. The planning scheme evaluation of highway transportation hub is a multi-attribute decision making (MADM). This paper intends to propose a MADM methodology based on cross-entropy (CE) method under interval-valued intuitionistic fuzzy sets (IVIFSs) for planning scheme evaluation of highway transportation hub. First of all, this paper extends the cross entropy method under the IVIFSs to propose the interval-valued intuitionistic fuzzy number CE(IVIFN-CE) method, it enlarges the application range of the CE method. Secondly, a new MADM model for planning scheme evaluation of highway transportation hub based on IVIFN-CE algorithm is proposed.

An integrated cross entropy methodology for planning scheme evaluation of highway transportation hub with interval-valued intuitionistic fuzzy information

This paper proposes a new scientific ranking framework for optimal selection of cloud vendor(CV) for the organization. For this purpose, a set of target dimensions for cloud computing from customer point of view are defined, based on expert reviews, international literature reviews and cloud provider market analysis. This study proposes intuitionistic fuzzy group decision making (IF-GDM) approach with intuitionistic fuzzy analytic hierarchy process(IF-AHP) for effective cloud vendor selection. In the previous approaches, IF-AHP was mainly used to determine the criteria weights and ranking was performed using other intuitionistic fuzzy based ranking schemes. All these schemes ignored to verify the consistency of the decision matrices which led to unrealistic preference orders. To alleviate such issue, in this paper, a new ranking framework with IF-AHP is proposed to provide both pair-wise comparison as well as consistency check for decision matrices. A case study of cloud vendor selection is demonstrated to verify the strength of the proposed framework.

A decision making framework under intuitionistic fuzzy environment for solving cloud vendor selection problem

The goal of this study is to enhance the emergency response department's reaction time to car accidents and an attempt to find solutions for quick accident notification. The project uses a “smart unit” implanted in the car to record the vehicle's data and send them to the vehicle owner or a third party at regular intervals. The smart device is made up of a variety of sensors that are properly safeguarded in a black box that remains safe even if the car is entirely damaged. Appropriate algorithms are created based on the data to provide alerts and initiate action. The system will aid customers in a variety of ways, including providing quick assistance in the event of an accident, tracking the car in the event of theft, and remotely deactivating the vehicle. The device will assist the user in a variety of ways, including providing quick assistance in the event of an accident, tracking the car in the event of theft, and remotely deactivating the vehicle. Furthermore, the device will simultaneously sending the information to the insurance companies shortly after the event occurs, ensuring that the information is delivered to the insurance companies far ahead of time. The output of the proposed research work includes a smart device to monitor the vehicle, the prototype could be a viable technology for car manufacturers to integrate and improve vehicle safety features and increase the dependability of vehicle accident detection and reporting system.

A Amrutha

Papers

A decision making framework under intuitionistic fuzzy environment for solving cloud vendor selection problem

IoT-based Vehicle Surveillance and Crash Detection System