Research on the Influence of Mobile Short Video Platform Recommendation Information Characteristics on User Stickiness [PDF]
The outbreak of the scientific and technological revolution has brought about the vigorous development of the digital economy. Many short video APPs have gradually come into people’s sight and become important tools for leisure and entertainment. At this
Chen Jingdong, Chen Mo, Wan Yuezhen
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Multi-Objective Capacitated Solid Transportation Problem with Uncertain Variables [PDF]
This paper investigates a multi-objective capacitated solid transportation problem (MOCSTP) in an uncertain environment, where all the parameters are taken as zigzag uncertain variables.
Vandana Y. Kakran, Jayesh M. Dhodiya
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Uncertain KOL Selection With Multiple Constraints in Advertising Promotion
Social media marketing is a new mode of marketing industry. KOL (Key Opinion Leader) marketing is a popular way of social media marketing, which is profit-oriented.
Meiling Jin +5 more
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The Production Routing Problem Under Uncertain Environment
To reduce waste and cost as well as to promote the efficient and sustainable use of resources in supply chains, a common focus of practice and research is to integrate decisions of various operational processes such as production, inventory, distribution,
Chenyin Wang, Yaodong Ni, Xiangfeng Yang
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Uncertain Programming Models for Sustainable Hub Covering Location Problem Over Incomplete Network
Hub covering location problem focuses on the construction of the hub network. The importance of this problem has been addressed in many fields including freight transportation and telecommunication network.
Junbin Wang, Zhongfeng Qin
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A model for the inverse 1-median problem on trees under uncertain costs [PDF]
We consider the problem of justifying vertex weights of a tree under uncertain costs so that a prespecified vertex become optimal and the total cost should be optimal in the uncertainty scenario.
Kien Trung Nguyen, Nguyen Thi Linh Chi
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Travelling salesman problem (TSP) is a well known combinatorial optimization problem which has drawn colossal attention due to its eclectic range of applications.
Halder Swapna +5 more
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Sine Entropy of Uncertain Random Variables [PDF]
Entropy is usually used to measure the uncertainty of uncertain random variables. It has been defined by logarithmic entropy with chance theory. However, this logarithmic entropy sometimes fails to measure the uncertainty of some uncertain random variables.
Gang Shi, Rujun Zhuang, Yuhong Sheng
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ON STRONGLY ALMOST CONVERGENCE OF DOUBLE SEQUENCES VIA COMPLEX UNCERTAIN VARIABLE
The aim of this article is to introduce the characterization of strongly almost convergence in complex uncertain double sequences. We investigate the concept of strongly almost convergence almost surely, convergence in measure, convergence in mean ...
J. Nath, C. Tripathy, B. Bhattacharya
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Regression analysis is to establish the regression relationship between dependent variables and independent variables. The data of traditional regression model are often assumed to be observed precisely. However this assumption holds only sometimes.
Shiqin Liu
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