Shaojian Qu
Biographic Data
| ID | 7563241 |
|---|---|
| NAME | Shaojian Qu |
| GIVEN NAMES | Shaojian |
| FAMILY NAME | Qu |
| SIGNATURE | QU S |
| AFFILIATIONS | Nanjing University of Information Science and Technology |
| ORCID | 0000-0002-4746-270X |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Participatory Budget Project Selection Considering District Fairness
Participatory budgeting (PB) allows citizens with different backgrounds to participate directly in the decision-making process of budgeting and fund allocation. It can be considered as a multiattribute decision-making (MADM) process, which enhances the fairness, transparency, and effectiveness of decision-making. However, with the increasing number of participants and the complexity of the decision-making environment, how to effectively manage an…
Two-Stage Distributionally Robust Minimum Cost Consensus Modeling With Loss Aversion
In group decision making (GDM), decision makers (DMs) may exhibit loss averse behavior. In addition, due to the complexity of GDM in the real world, there are various uncertainties. However, traditional studies ignore DMs’ loss aversion behavior under uncertain environments. To address this gap, this article develops a two-stage distributionally robust minimum cost consensus model under uncertainty with loss aversion (TSDR-MCCM-LA). In the first …
Distributionally Robust Chance Constrained Maximum Expert Consensus Model with Incomplete Information on Uncertain Cost
The Novel Data-Driven Robust Maximum Expert Mixed Integer Consensus Models Under Multirole’s Opinions Uncertainty by Considering Noncooperators
In group decision-making, ignoring the existence of uncertain factors causes the decision-making problem to lose its practical significance. Based on the maximum expert consensus model (MECM), we considered the uncertainty of the opinions of the three participating roles by introducing noncooperators. Additionally, three different opinion uncertainty sets were constructed to describe the characteristics of opinion uncertainty more accurately. Fur…
The impact of carbon policy on carbon emissions in various industrial sectors based on a hybrid approach
A Robust Minimum-Cost Consensus Model With Uncertain Aggregation Weights Based on Data-Driven Method
Due to the existence of cognitive bias, it is difficult to accurately obtain the decision-makers’ weights in the aggregating process, which leads to great fluctuations in the optimal decision-making. Therefore, the purpose of this article is to establish a data-driven robust cost consensus model induced by uncertain weights to deal with the adverse effects of uncertainty in the aggregating process. First, the probability density function of the u…
Consensus Building for Uncertain Large-Scale Group Decision-Making Based on the Clustering Algorithm and Robust Discrete Optimization
Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization
Newsvendor’s optimal decisions under stochastic demand and cap-and-trade regulation
Low-carbon supply chain optimization considering warranty period and carbon emission reduction level under cap-and-trade regulation
A Study of The Effect of Demand Uncertainty for Low-Carbon Products Using a Newsvendor Model
This paper studies the effect of uncertain demand on a low-carbon product by using a newsvendor model. With two different kinds of market scales, we examine a game whereby a manufacturer produces and delivers a single new low-carbon product to a single retailer. The retailer observes the demand information and gives an order before the selling season. We find in the game that if the retailer shares truthful (or in contrast unreal or even does not…
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A Study of The Effect of Demand Uncertainty for Low-Carbon Products Using a Newsvendor Model
This paper studies the effect of uncertain demand on a low-carbon product by using a newsvendor model. With two different kinds of market scales, we examine a game whereby a manufacturer produces and delivers a single new low-carbon product to a single retailer. The retailer observes the demand information and gives an order before the selling season. We find in the game that if the retailer shares truthful (or in contrast unreal or even does not…
Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization
Newsvendor’s optimal decisions under stochastic demand and cap-and-trade regulation
Low-carbon supply chain optimization considering warranty period and carbon emission reduction level under cap-and-trade regulation
A Robust Minimum-Cost Consensus Model With Uncertain Aggregation Weights Based on Data-Driven Method
Due to the existence of cognitive bias, it is difficult to accurately obtain the decision-makers’ weights in the aggregating process, which leads to great fluctuations in the optimal decision-making. Therefore, the purpose of this article is to establish a data-driven robust cost consensus model induced by uncertain weights to deal with the adverse effects of uncertainty in the aggregating process. First, the probability density function of the u…
Consensus Building for Uncertain Large-Scale Group Decision-Making Based on the Clustering Algorithm and Robust Discrete Optimization
The Novel Data-Driven Robust Maximum Expert Mixed Integer Consensus Models Under Multirole’s Opinions Uncertainty by Considering Noncooperators
In group decision-making, ignoring the existence of uncertain factors causes the decision-making problem to lose its practical significance. Based on the maximum expert consensus model (MECM), we considered the uncertainty of the opinions of the three participating roles by introducing noncooperators. Additionally, three different opinion uncertainty sets were constructed to describe the characteristics of opinion uncertainty more accurately. Fur…
The impact of carbon policy on carbon emissions in various industrial sectors based on a hybrid approach
Participatory Budget Project Selection Considering District Fairness
Participatory budgeting (PB) allows citizens with different backgrounds to participate directly in the decision-making process of budgeting and fund allocation. It can be considered as a multiattribute decision-making (MADM) process, which enhances the fairness, transparency, and effectiveness of decision-making. However, with the increasing number of participants and the complexity of the decision-making environment, how to effectively manage an…
Two-Stage Distributionally Robust Minimum Cost Consensus Modeling With Loss Aversion
In group decision making (GDM), decision makers (DMs) may exhibit loss averse behavior. In addition, due to the complexity of GDM in the real world, there are various uncertainties. However, traditional studies ignore DMs’ loss aversion behavior under uncertain environments. To address this gap, this article develops a two-stage distributionally robust minimum cost consensus model under uncertainty with loss aversion (TSDR-MCCM-LA). In the first …
Distributionally Robust Chance Constrained Maximum Expert Consensus Model with Incomplete Information on Uncertain Cost
Computer Science (8 works) · Mathematics (7 works) · Mathematical optimization (6 works) · Multi-Criteria Decision Making (6 works) · Economics (5 works) · Robust optimization (5 works) · Business (4 works) · Engineering (4 works) · Fuzzy Systems and Optimization (4 works) · Operations research (4 works)