8 January 2019; Published 15 January 2019 Academic Editor: Dorota Mozyrska Copyright © 2019 Min Jiang et al. This is an open access article distributed under the Creative Commons Attribution
Lane detection is a challenging problem. It has attracted the attention of the computer vision community for several decades. Essentially, lane detection is a multifeature detection problem that has become a real challenge for computer vision and machine learning techniques. Although many machine learning methods are used for lane detection, they are mainly used for...
Lane detection is a challenging problem. It has attracted the attention of the computer vision community for several decades. Essentially, lane detection is a multifeature detection problem that has become a real challenge for computer vision and machine learning techniques. Although many machine learning methods are used for lane detection, they are mainly used for...
: Agnieszka B. Malinowska Copyright © 2018 Min Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and
: Agnieszka B. Malinowska Copyright © 2018 Min Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and
: Agnieszka B. Malinowska Copyright © 2018 Min Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and
This paper introduces an approach for group decision-making problems (GDMP) without weighted aggregation operators. This approach is more suitable for scenarios with infinite number of individuals. A mathematical model approach is established based on the new concept of -optimal concession equilibrium solution without weighted aggregation operators for group decision-making...
: Agnieszka B. Malinowska Copyright © 2018 Min Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and
Correspondence should be addressed to Min Jiang; nc.ude.iaknan@gnaijnim and Gang Bai; nc.ude.iaknan@iabgnag Received 1 January 2019; Accepted 14 February 2019; Published 3 March 2019 Academic Editor: Yoshiki
Copyright © 2019 Min Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium
, University of Electronic Science and Technology of China, Chengdu 611731, China Received 28 February 2014; Accepted 26 April 2014; Published 15 May 2014 Academic Editor: Bashir Ahmad Copyright © 2014 Min ... Jiang and Shouming Zhong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
, University of Electronic Science and Technology of China, Chengdu 611731, China Received 28 February 2014; Accepted 26 April 2014; Published 15 May 2014 Academic Editor: Bashir Ahmad Copyright © 2014 Min ... Jiang and Shouming Zhong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
, University of Electronic Science and Technology of China, Chengdu 611731, China Received 28 February 2014; Accepted 26 April 2014; Published 15 May 2014 Academic Editor: Bashir Ahmad Copyright © 2014 Min ... Jiang and Shouming Zhong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
, University of Electronic Science and Technology of China, Chengdu 611731, China Received 28 February 2014; Accepted 26 April 2014; Published 15 May 2014 Academic Editor: Bashir Ahmad Copyright © 2014 Min ... Jiang and Shouming Zhong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
. Authors’ Contributions Gang Bai and Yuanyuan Hou conceived and designed the experiments. Jin Tao, Yan Nie, and Jie Gao performed the experiments. Guoyu Ding, Xiaoyao Ma, and Min Jiang analyzed the data. Jin
. Authors’ Contributions Gang Bai and Yuanyuan Hou conceived and designed the experiments. Jin Tao, Yan Nie, and Jie Gao performed the experiments. Guoyu Ding, Xiaoyao Ma, and Min Jiang analyzed the data. Jin
. Authors’ Contributions Gang Bai and Yuanyuan Hou conceived and designed the experiments. Jin Tao, Yan Nie, and Jie Gao performed the experiments. Guoyu Ding, Xiaoyao Ma, and Min Jiang analyzed the data. Jin
Risk-averse suppliers’ optimal pricing strategies in two-stage supply chains under competitive environment are discussed. The suppliers in this paper focus more on losses as compared to profits, and they care their long-term relationship with their customers. We introduce for the suppliers a loss function, which covers both current loss and future loss. The optimal wholesale...
Risk-averse suppliers’ optimal pricing strategies in two-stage supply chains under competitive environment are discussed. The suppliers in this paper focus more on losses as compared to profits, and they care their long-term relationship with their customers. We introduce for the suppliers a loss function, which covers both current loss and future loss. The optimal wholesale...
