A Two-Phase Decision-Making Based Grey Theory Framework for the Best Choice of Payment Methods in International Trade

2021 ◽  
Author(s):  
Hung Phi Nguyen
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruipu Tan ◽  
Lehua Yang ◽  
Shengqun Chen ◽  
Wende Zhang

PurposeThe Chinese believe that “man will conquer the sky” and “fighting with the sky brings endless joy”. Considering that disaster assessment can be regarded as a two-person, zero-sum game problem between nature and human beings, this paper proposes a multi-attribute decision-making method based on game theory and grey theory in a single-value neutrosophic set environment. Due to the complexity and uncertainty of the decision-making environment, the method builds a decision matrix based on single-valued neutrosophic numbers.Design/methodology/approachFirst, the authors use the single-value neutrosophic information entropy to calculate the attribute weights and the weighted decision matrix. Second, the optimal mixed strategy method based on linear programming solves the optimal mixed strategy for both sides of the game so that the expected payoff matrix can be obtained. Finally, grey correlation analysis is used to obtain the closeness coefficient of each alternative based on the expectation payoff matrix to identify the ranking result of the alternative.FindingsAn example is used to verify the effectiveness of the proposed method, and its rationality is verified through a comprehensive comparison and analysis of the various aspects.Practical implicationsThe proposed decision-making method can be applied to typhoon disaster assessment. Such assessment results can provide intelligent decision support to the relevant disaster management departments, thereby reducing the negative impact of typhoon disasters on society, stabilizing society and improving people's happiness. Further, the method can be used for decision-making, recommendation and evaluation in other fields.Originality/valueThe proposed method uses single-value neutrosophic numbers to solve the information representation problem of decision-making in a complex environment. Under a new perspective, game theory is used to handle the decision matrix, while grey relational analysis converts inexact numbers to exact numbers for comparison and sorting. Thus, the proposed method can be used to make reasonable decisions while preserving information to the extent possible.


Author(s):  
Lapo Mola ◽  
Cecilia Rossignoli ◽  
Andrea Carugati ◽  
Antonio Giangreco

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.


Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 487 ◽  
Author(s):  
Miao Qin ◽  
Yongchuan Tang ◽  
Junhao Wen

Dempster–Shafer evidence theory (DS theory) has some superiorities in uncertain information processing for a large variety of applications. However, the problem of how to quantify the uncertainty of basic probability assignment (BPA) in DS theory framework remain unresolved. The goal of this paper is to define a new belief entropy for measuring uncertainty of BPA with desirable properties. The new entropy can be helpful for uncertainty management in practical applications such as decision making. The proposed uncertainty measure has two components. The first component is an improved version of Dubois–Prade entropy, which aims to capture the non-specificity portion of uncertainty with a consideration of the element number in frame of discernment (FOD). The second component is adopted from Nguyen entropy, which captures conflict in BPA. We prove that the proposed entropy satisfies some desired properties proposed in the literature. In addition, the proposed entropy can be reduced to Shannon entropy if the BPA is a probability distribution. Numerical examples are presented to show the efficiency and superiority of the proposed measure as well as an application in decision making.


2008 ◽  
Vol 8 (2) ◽  
pp. 123-148 ◽  
Author(s):  
Thomas Gehring ◽  
Eva Ruffing

The legitimacy and effectiveness of the Convention on International Trade in Endangered Species of Wild Flora and Fauna (CITES) depends on problem-adequate listing decisions. Decisions are frequently highly controversial, because they commit the member states to imposing trade restrictions on listed species. We examine whether—and how—CITES' impressive institutional apparatus deprives the member states of their bargaining power and empowers actors who can make reasoned arguments on the merits of a listing decision. For this purpose, we demonstrate theoretically that appropriately designed decision-making procedures can diminish stake-holders' opportunities for exploiting their bargaining power and provide room for reason-based deliberation. Subsequently, we explore member states' and other stakeholders' incentives, created by the CITES listing procedure, for refraining from bargaining and accepting scientifically sound decisions. Finally, we examine three recent controversial listing decisions as examples of the actual operation of the listing procedure.


2012 ◽  
Vol 36 (9) ◽  
pp. 4197-4217 ◽  
Author(s):  
S. Ebrahimnejad ◽  
S.M. Mousavi ◽  
R. Tavakkoli-Moghaddam ◽  
H. Hashemi ◽  
B. Vahdani

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191626 ◽  
Author(s):  
Xianghuan Zu ◽  
Chuanlei Yang ◽  
Hechun Wang ◽  
Yinyan Wang

2019 ◽  
Vol 4 (8) ◽  
pp. 121-125
Author(s):  
Nino Parsadanishvili

resent paper focuses on current crises in international trade in services negotiations from the perspective of consideration of trading interests of developing and least developed countries in line with the operational agenda of the World Trade Organization (WTO). Through the analysis of the existing international legal texts and scholarly works particular attention is paid to the different rounds of trade in services negotiations in parallel to the consideration of the results of relevant ministerial conferences of the World Trade Organization, drawing attention to the situation with regards of consideration of the interests of developing and least developed country members of the WTO. Special focus is paid to the complexity of the decision making process and it’s complication over time due to increased participation of parties concerned in the process of trade in services negotiations resulting in no progress in the overall process. Next to analyzing the challenges faced by the WTO in trade in services negotiations, especially in terms of considering the interests of developing and least developed countries, paper shows the ways that could be used during 2020 Kazakhstan Ministerial Conference of the World Trade Organization for finding solutions to simplify the decision making process and establish freer international trade in services by the way of either implying new approaches in interpreting the existing multilateral treaties that deal with trade in services between all member states of the WTO or deepening the discussions on a new plurilateral agreement helping the organization to overcome the stagnated process of trade in services negotiations and therefore ensuring the compliance with it’s own operational goals.


Author(s):  
Nabilah Hani Abughazalah ◽  
Majid Khan

In this age of internet communication, the security of digital information is one of the main issues. The privacy of data depends upon the encryption using some secure algorithm. The selection of robust cryptosystems to ensure confidentiality is a major concern to decrease the risk of cryptographic attacks. In this article, we have implemented a grey theory-based decision-making technique for the election of a robust cryptosystem that complies with all the cryptographic parameters. Six different already proposed encryption algorithms are selected as the alternatives of the decision-making problem and the parameters concerned for the decision are entropy, correlation coefficient, the number of pixels changing rate (NPCR), unified average changing intensity (UACI). The algorithm ranked as first by using grey-based decision-making method can be utilized for secure data encryption.


2019 ◽  
Vol 18 (03) ◽  
pp. 901-927
Author(s):  
Chui-Hua Liu ◽  
Gwo-Hshiung Tzeng ◽  
Po-Yen Lee

Hotel competency is inherently intangible and multivariate. It involves a multiple-criteria decision-making problem. Particularly in the currently rapidly shrinking hotel market in Taiwan, what determines domestic chain hotel groups’ (DCHGs’) competence and survival involves more complex and multiple factors. A practical and effective tool is urgently required for making appropriate decisions. This paper thus proposes a combined consistent fuzzy preference relations (CFPR) and the VIKOR model, aiming to prioritize criteria and solution alternatives for hotel managers. In contrast to prior studies that have used mathematical programming, the model here is also tested using real-world hotel management cases and expert consultation. First, based upon the resource-based view, we propose 21 criteria and six dimensions as the determinants of DCHG competencies. Then, VIKOR is applied to produce the most appropriate alternatives with the corresponding weights obtained using the CFPR method. The combined method successfully manages the problems of linguistic ambiguity and consistency, determines the relative weights of the different factors and provides a ranking priority. The result is compared with some similar methods and is shown to be more useful and reliable. Finally, the verified model can be used to produce strategies. A decision-maker can make selection(s) from the solution formula. Our study may thus contribute to the hotel industry with the efficient decision-making tool of resource-based view (RSV) and two-phase methodologies.


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