A Hybrid Multiple-Attribute Decision-Making Model with Modified PROMETHEE for Identifying Optimal Performance-Improvement Strategies for Sustainable Development of a Better Life

2019 ◽  
Vol 144 (3) ◽  
pp. 1021-1053 ◽  
Author(s):  
Shu-Kung Hu ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Performance Improvement ◽  
Multiple Attribute Decision Making ◽  
Optimal Performance ◽  
Multiple Attribute ◽  
Improvement Strategies ◽  
Decision Making Model

scholarly journals Evaluation of Combating Desertification Alternatives Using Promethee Model

2016 ◽  
Vol 8 (2) ◽  
pp. 1 ◽  
Author(s):  
Mohammad Hassan Sadeghravesh ◽  
Hassan Khosravi ◽  
Azam Abolhasani ◽  
Sahar Shekoohizadeghan
Keyword(s):  
Decision Making ◽  
Land Use Changes ◽  
Multiple Attribute Decision Making ◽  
Decision Matrix ◽  
Promethee Ii ◽  
Multiple Attribute ◽  
Combating Desertification ◽  
Extent Of Damage ◽  
Decision Making Model ◽  
Desertification Risk

According to the extent of damage, various effects and complexity of desertification process, selecting appropriate alternatives considering all effective desertification criterions is one of the main concerns of Iran in the field of natural resources. This can be effective in controlling, reclamation of disturbed lands and avoiding destruction areas at desertification risk. This paper tries to provide a systematic and optimal alternatives in a group decision-making model. For this aim, PROMETHEE II method was used for ranking desertification alternatives. At the first in the framework of Multiple Attribute Decision-making (MADM), normalized decision matrix was provided by  Delphi model. Then, to ease and accuracy in estimating the criteria preference and alternatives priority, the normalized decision matrix data were entered in Visual PROMETHEE software. Based on the results, the alternatives of prevention of unsuitable land use changes (A18), vegetation cover development and reclamation (A23) and modification of ground water harvesting (A31) with pure out ranking progress of =0.3660, 0.1909 and -0.0887 were selected as the main combating desertification altarnative in the study area, respectively. Therefore, it is suggested that the obtained results and ranking should be considered in projects of controlling and reducing the effects of desertification and rehabilitatyion of degraded lands plans.

Risk Factor Assessment Improvement for China’s Cloud Computing Auditing Using a New Hybrid MADM Model

2017 ◽  
Vol 16 (03) ◽  
pp. 737-777 ◽  
Author(s):  
Kuang-Hua Hu ◽  
Wei Jianguo ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Practical Experience ◽  
Multiple Attribute Decision Making ◽  
Modern Technology ◽  
Multiple Attribute ◽  
Aspiration Levels ◽  
Improvement Strategies ◽  
Cloud Auditing ◽  
Using Data

With the rapid growth of modern technology in all facets of trade and industry, traditional auditing systems can no longer meet today’s ever-increasing technological requirements; contemporary auditing is in urgent need of straightforward and quick cloud computing services to meet the needs of auditors. In keeping with current trends, auditors must be provided with the means of using data and auditing information stored in cloud systems for more efficient and elastic auditing. However, the risks involved in cloud computing auditing are widespread and complex. Dimensions should be established, a mutually influential relationship used to delineate the influence weights of the dimensions and criteria should be determined. To this end, a Multiple Attribute Decision Making (MADM) model can precisely solve multi-criteria problems simultaneously. Therefore, the main focus of this study is to determine how to assess and establish the best improvement strategies to achieve the aspiration level for cloud auditing risk factors, by using the opinions and practical experience of China’s accounting experts, applied with a Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique, DEMATEL-based ANP (DANP) and modified VIKOR method. The results provide cloud auditing risks with a knowledge-based understanding of the problem sources in order to establish the best improvement strategies for reducing risk-auditing performance gaps and attaining the aspiration levels. Based on the degree of impact of the dimensions/criteria on an Influence Network Relation Map (INRM), improvements should be prioritized as follows: system operations, technology risks, identity and access management and data protection.

scholarly journals Methods for MADM with Picture Fuzzy Muirhead Mean Operators and Their Application for Evaluating the Financial Investment Risk

Symmetry ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 6 ◽  
Author(s):  
Rui Wang ◽  
Jie Wang ◽  
Hui Gao ◽  
Guiwu Wei
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Investment Risk ◽  
Financial Investment ◽  
Multiple Attribute ◽  
Fuzzy Aggregation ◽  
Fuzzy Madm ◽  
Decision Making Model

In this article, we study multiple attribute decision-making (MADM) problems with picture fuzzy numbers (PFNs) information. Afterwards, we adopt a Muirhead mean (MM) operator, a weighted MM (WMM) operator, a dual MM (DMM) operator, and a weighted DMM (WDMM) operator to define some picture fuzzy aggregation operators, including the picture fuzzy MM (PFMM) operator, the picture fuzzy WMM (PFWMM) operator, the picture fuzzy DMM (PFDMM) operator, and the picture fuzzy WDMM (PFWDMM) operator. Of course, the precious merits of these defined operators are investigated. Moreover, we have adopted the PFWMM and PFWDMM operators to build a decision-making model to handle picture fuzzy MADM problems. In the end, we take a concrete instance of appraising a financial investment risk to demonstrate our defined model and to verify its accuracy and scientific merit.

scholarly journals Evaluation for Core Competence of Private Enterprises in Xuchang City Based on an Improved Dynamic Multiple-Attribute Decision-Making Model

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Jian-min Shen ◽  
Yao-guo Dang ◽  
Wei-jie Zhou ◽  
Xue-mei Li
Keyword(s):  
Decision Making ◽  
Core Competence ◽  
Multiple Attribute Decision Making ◽  
Private Enterprises ◽  
Multiple Attribute ◽  
Relational Degree ◽  
The Core Competence ◽  
Improved Model ◽  
Decision Making Model ◽  
Grey Relational

Because Deng’s grey relational degree is inconspicuous, Deng’s relational degree with an exponential function is first presented. Then, we demonstrate that improved Deng’s relational degree is more conspicuous than the original model. Then, we construct a multiple-attribute decision-making model, based on improved Deng’s relational degree with multiple stages, and a method for determining the weight of the index is also developed. Finally, the core competence of private enterprises in Henan province is analyzed, illustrating the validity and feasibility of the improved model.

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