An integrated approach to site selection for a big data center using PROMETHEE-MCGP methodology

2021 ◽  
pp. 1-21
Author(s):  
Chenliang Li ◽  
Xiaobing Yu ◽  
Wen-Xuan Zhao
Keyword(s):  
Big Data ◽  
Site Selection ◽  
Data Center ◽  
Integrated Approach ◽  
Preference Ranking ◽  
Economic Factors ◽  
Integrated Method ◽  
Multi Objective Programming ◽  
Promethee Method ◽  
Selection For

In today’s economy, information technology (IT) is vitally important, and the increasing use of the Internet, telecommunications services, and internal IT networks in organizations have led to rapid growth in the demands on big data processing. In general, site selection is a fundamental part of the design of a big data center (BDC), and a poor site decision can affect the sustainability of the facility. To construct a comprehensive assessment framework for a BDC, the following three categories of indicators are determined based on the “Specification for Design of Data Center” in GB50174-2017 of China: economic factors, natural climate environment factors, and energy resources factors. After explaining the rationality of choosing these indicators in detail, an integrated method that combines the multi-criteria decision-making (MCDM) method and the multi-choice goal programming (MCGP) model is proposed. The proposed approach uses two phases to conduct the decision procedure. First, the preference ranking organization method for enrichment evaluation (PROMETHEE) method is applied to evaluate the economic factors. Then, the evaluation results are added to the MCGP model as one of the goals of multi-objective programming. Second, the remaining five sub-indicators and the evaluation results generated from the first phase are formulated as a complete MCGP model. Finally, an empirical study on the site selection for the BDC is implemented based on the proposed method. The result shows that Guiyang is the most suitable place for locating a BDC in China.

Evaluation of Site Selection for Chemical Projects Based on Tolerance of Residents

2011 ◽  
Vol 403-408 ◽  
pp. 343-347
Author(s):  
Tao Zhao ◽  
Shuang Ji Zhao ◽  
Ping Heng Zhang ◽  
Qing Fu Su
Keyword(s):  
Environmental Factors ◽  
Environmental Protection ◽  
Site Selection ◽  
Evaluation Model ◽  
Influence Factors ◽  
Social Awareness ◽  
Evaluation Indexes ◽  
Integrated Method ◽  
Selection For ◽  
Good Environment

As the improvement of social awareness of environmental protection, the needs of the residents for good environment conditions have to be taken into account when decisions were made by Governments and corporations. In addition, corporations had to pay more attentions to environmental factors than economy and technology factors for Chemical Projects site selection. The tolerance of residents to chemical project was proposed in this paper, in which the definetion and the influence factors were described. And an evaluation indexes system of the tolerance of residents to the chemical project was employed, which contents four aspects of the dangerous of chemical project factors, enterprise factors, social influence factors and the residents themselves factors. Besides, the evaluation model of the tolerance of residents was established using the grey integrated method,and a example was discussed which proves the availability of this model.

The role of 3S in big data quality: a perspective on operational performance indicators using an integrated approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pratima Verma ◽  
Vimal Kumar ◽  
Ankesh Mittal ◽  
Bhawana Rathore ◽  
Ajay Jha ◽  
...  
Keyword(s):  
Big Data ◽  
Data Quality ◽  
Data Science ◽  
Fuzzy Ahp ◽  
Integrated Approach ◽  
Preference Ranking ◽  
Content Type ◽  
Quality Dimensions ◽  
Data Quality Dimensions

PurposeThis study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance followed by the selection of data quality dimensions to any organization's success.Design/methodology/approachA fuzzy analytic hierarchy process (AHP) based research methodology has been proposed and utilized to assign the criterion weights and to prioritize the identified speed, synthesis and significance (3S) indicators. Further, the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) technique has been used to measure the data quality dimensions considering 3S as criteria.FindingsThe effective indicators are identified from the past literature and the model confirmed with industry experts to measure these indicators. The results of this fuzzy AHP model show that the synthesis is recognized as the top positioned and most significant indicator followed by speed and significance are developed as the next level. These operational indicators contribute toward BDA and explore with their sub-categories' priority.Research limitations/implicationsThe outcomes of this study will facilitate the businesses that are contemplating this technology as a breakthrough, but it is both a challenge and opportunity for developers and experts. Big data has many risks and challenges related to economic, social, operational and political performance. The understanding of data quality dimensions provides insightful guidance to forecast accurate demand, solve a complex problem and make collaboration in supply chain management performance.Originality/valueBig data is one of the most popular technology concepts in the market today. People live in a world where every facet of life increasingly depends on big data and data science. This study creates awareness about the role of 3S encountered during big data quality by prioritizing using fuzzy AHP and PROMETHEE.

scholarly journals A HYBRID MCDM APPROACH TO ASSESS THE SUSTAINABILITY OF STUDENTS’ PREFERENCES FOR UNIVERSITY SELECTION

2014 ◽  
Vol 20 (3) ◽  
pp. 391-418 ◽  
Author(s):  
Mehmet Kabak ◽  
Metin Dağdeviren
Keyword(s):  
Social Life ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
University Selection ◽  
Network Process ◽  
Promethee Method ◽  
The University ◽  
Selection Of

Selection of the most suitable university among many alternatives is a multi-criteria decision making (MCDM) problem. In this paper, an integrated approach which employs analytic network process (ANP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, is proposed for this problem. By the way, the paper is concerned with criteria influencing student choice in Turkey to establish if there is any need in developing a multi-criteria model for predicting students’ preference for universities. The ANP is used to analyse the structure of the university selection problem and to determine weights of the criteria, and the PROMETHEE method is used to obtain final ranking, and to make a sensitivity analysis by changing the weights for criteria. The results indicate that three factors, future career prospects and opportunities, scholarship and university's social life at the top in the university selection.

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