optimal decision
Recently Published Documents





2022 ◽  
Vol 6 (1) ◽  
pp. 1-13
Edward Edward ◽  
Amjad Fayoumi ◽  
Azar Shahgholian ◽  
Achmad Hidayanto

The Brexit referendum has impacted both the UK and the EU economies in several ways. The uncertainty around Brexit highlighted the importance of a relationships network between directors of companies to access information and resources that are necessary for optimal decision making. It is difficult to develop informed business and economy policies without a deep understanding of the magnitude of Brexit on business-to-business relationships with EU-based firms. This study aims to analyze the impact of the passage of the Brexit referendum on the evolution of board interlock networks. The study uses network analysis to measure the evolution of UK-EU directors’ relationships over the Brexit period, predominantly between the 2010 and 2020 period. The study models the structural changes in dynamic networks by converting this evolving network into static graphs on yearly basis. The analysis indicates that links formation in the UK is affected negatively by the Brexit referendum. It also has a negative impact on forming a new link with potential companies’ directors in the EU, but it shows a rising tendency for shared affiliation bias analysis. Interestingly, the contradicted trend in 2007, the number of directors’ connection in consumer service and food & drug sectors was decreasing in the UK while rocketing in the EU. Doi: 10.28991/ESJ-2022-06-01-01 Full Text: PDF

Hafiz Muhammad Athar Farid ◽  
Muhammad Riaz

AbstractSingle-valued neutrosophic sets (SVNSs) and their application to material selection in engineering design. Liquid hydrogen is a feasible ingredient for energy storage in a lightweight application due to its high gravimetric power density. Material selection is an essential component in engineering since it meets all of the functional criteria of the object. Materials selection is a time-consuming as well as a critical phase in the design process. Inadequate material(s) selection can have a detrimental impact on a manufacturer’s production, profitability, and credibility. Multi-criteria decision-making (MCDM) is an important tool in the engineering design process that deals with complexities in material selection. However, the existing MCDM techniques often produce conflicting results. To address such problems, an innovative aggregation technique is proposed for material selection in engineering design based on truthness, indeterminacy, and falsity indexes of SVNSs. Taking advantage of SVNSs and smooth approximation with interactive Einstein operations, single-valued neutrosophic Einstein interactive weighted averaging and geometric operators are proposed. Based on proposed AOs, a robust MCDM approach is proposed for material selection in engineering design. A practical application of the proposed MCDM approach for material selection of cryogenic storage containers is developed. Additionally, the authenticity analysis and comparison analysis are designed to discuss the validity and rationality of the optimal decision.

2022 ◽  
Vol 2 (1) ◽  
pp. 07-16

This study focuses on the political implications of the presidential system practice in the Jokowi-JK government. Constitutionally, the Indonesian government system adheres to a presidential system. However, there is a system confusion in practice that causes the President's role and position as head of government to be not optimal because his policies are often criticized and even intervened by the DPR. The purpose of this study is to analyze the political implications of the presidential system practice run by Jokowi-JK, using a case study approach and analyzing primary and secondary data. The specification of the research is analytical descriptive with qualitative method. The theories used include presidential theory, party system, coalition, and leadership theory. The study results show that the presidential-parliamentary-style system run by Jokowi-JK has implications for less than optimal decision-making by the President in the preparation of the cabinet and disruption of relations with parliament.

Complexity ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-11
Jinrong Liu ◽  
Qi Xu ◽  
Zhongmiao Sun

The isolation requirements of the coronavirus epidemic and the intuitive display advantages of live-streaming have led to an increasing number of retailers shifting to social live-streaming platforms and e-commerce live-streaming platforms to promote and sell their products in real time. However, the provision of live-streaming services will also incur high live-streaming effort costs. In this paper, we develop two decision models for retailers to sell goods through a single online shop and both online shop and live-streaming room; we also present the optimal decisions of pricing and live-streaming efforts. Furthermore, we identify the profitability conditions for retailers to determine when to provide live-streaming services. In addition, we examine the impact of the provision of live-streaming services on the optimal price and live-streaming effort. We obtain three findings. First, there is a unique optimal decision on the price and live-streaming effort under certain conditions. Second, when the effect coefficient of the live-streaming room reaches a certain threshold, there are enough customers who enter the live-streaming room to watch and buy and it is profitable for retailers to provide live-streaming service. Finally, the optimal price and live-streaming effort increase with the increase in average return loss, the effect coefficient of live-streaming effort, and the extra return rate and decrease with the increase in the proportion of customers who choose to buy in the online shop and the price discount coefficient in the live-streaming room.

2022 ◽  
Erick Delage ◽  
Shaoyan Guo ◽  
Huifu Xu

Utility-based shortfall risk measures effectively captures a decision maker's risk attitude on tail losses. In this paper, we consider a situation where the decision maker's risk attitude toward tail losses is ambiguous and introduce a robust version of shortfall risk, which mitigates the risk arising from such ambiguity. Specifically, we use some available partial information or subjective judgement to construct a set of plausible utility-based shortfall risk measures and define a so-called preference robust shortfall risk as through the worst risk that can be measured in this (ambiguity) set. We then apply the robust shortfall risk paradigm to optimal decision-making problems and demonstrate how the latter can be reformulated as tractable convex programs when the underlying exogenous uncertainty is discretely distributed.

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Jia Liu ◽  
Wei Chen ◽  
Ziyang Chen ◽  
Lin Liu ◽  
Yuhong Wu ◽  

Skyline query is a typical multiobjective query and optimization problem, which aims to find out the information that all users may be interested in a multidimensional data set. Multiobjective optimization has been applied in many scientific fields, including engineering, economy, and logistics. It is necessary to make the optimal decision when two or more conflicting objectives are weighed. For example, maximize the service area without changing the number of express points, and in the existing business district distribution, find out the area or target point set whose target attribute is most in line with the user’s interest. Group Skyline is a further extension of the traditional definition of Skyline. It considers not only a single point but a group of points composed of multiple points. These point groups should not be dominated by other point groups. For example, in the previous example of business district selection, a single target point in line with the user’s interest is not the focus of the research, but the overall optimality of all points in the whole target area is the final result that the user wants. This paper focuses on how to efficiently solve top- k group Skyline query problem. Firstly, based on the characteristics that the low levels of Skyline dominate the high level points, a group Skyline ranking strategy and the corresponding SLGS algorithm on Skyline layer are proposed according to the number of Skyline layer and vertices in the layer. Secondly, a group Skyline ranking strategy based on vertex coverage is proposed, and corresponding VCGS algorithm and optimized algorithm VCGS+ are proposed. Finally, experiments verify the effectiveness of this method from two aspects: query response time and the quality of returned results.

2022 ◽  
Wanshi Hong ◽  
Bin Wang ◽  
Mengqi Yao ◽  
Duncan Callaway ◽  
Larry Dale ◽  

2022 ◽  
Vol 0 (0) ◽  
pp. 0
Huaqing Cao ◽  
Xiaofen Ji

<p style='text-indent:20px;'>More and more garment enterprises begin to pay attention to the importance of recycling, take the corresponding recycling strategy to recycle garment products and remanufacture, forming a closed-loop supply chain (CLSC). In reality, recycling is a complex system, the recycling strategy of clothing brands will not only affect the reverse channel of closed-loop supply chain, but also affect the consumer demand of forward channel, and then affect the profit of supply chain. In order to solve this problem, we propose a CLSC composed of a manufacturer, a retailer and a collector, establish three different Stackelberg leadership models, and derive the optimal recycling strategy. Our results show that consumers' sensitivity to the recycling price will affect the optimal decision of supply chain members. The increase of the recycling market is not always beneficial to the profits of supply chain members. By comparing the profits of the three models, it is found that the retailer leadership model is the most effective scenario of CLCS. The results of this paper provide a reference for garment enterprises to formulate recycling strategies.</p>

Agriculture ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 41
Yifan Gu ◽  
Zishang Yang ◽  
Tailong Zhu ◽  
Junshu Wang ◽  
Yuxing Han

As an effective heuristic method, three-way decision theory gives a new semantic interpretation to the three fields of the rough set, which has a huge application space. To classify the information of agricultural products more accurately under certain thresholds, this paper first makes a comprehensive evaluation of the decision, particularly the influence of the attributes of the event itself on the results and their interactions. By using fuzzy sets corresponding to membership and non-membership degree, this paper analyzes and puts forward two cases of proportional correlation coefficients in the transformation of a delayed decision domain, and selects the corresponding coefficients to compare the results directly. Finally, consumers can conveniently grasp product attribute information to make decisions. On this basis, this paper analyzed the standard data to verify the accuracy of the model. After that, the proposed algorithm, based on three decision-making agricultural product information classification processing, is applied to the relevant data of agricultural products. The experimental results showed that the algorithm can obtain more accurate results through a more straightforward calculation process. It can be concluded that the algorithm proposed in this paper can enable people to make more convenient and accurate decisions based on product attribute information.

Sign in / Sign up

Export Citation Format

Share Document