Evaluating the sustainability of big data centers using the analytic network process and fuzzy TOPSIS

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

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Personalized Real-Time Virtual Tours in Places With Cultural Interest

Destination Management and Marketing ◽

10.4018/978-1-7998-2469-5.ch044 ◽

2020 ◽

pp. 802-820

Author(s):

Emmanouil Skondras ◽

Konstantina Siountri ◽

Angelos Michalas ◽

Dimitrios D. Vergados

Keyword(s):

Real Time ◽

Video Streaming ◽

Fuzzy Topsis ◽

Analytic Network Process ◽

User Preferences ◽

Web Ontology Language ◽

Ontology Language ◽

Cultural Sites ◽

Network Process ◽

Cultural Interest

Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.

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Study on Building a Smart Sustainable City Assessment Framework Using Big Data and Analytic Network Process

Journal of Urban Planning and Development ◽

10.1061/(asce)up.1943-5444.0000704 ◽

2021 ◽

Vol 147 (3) ◽

Author(s):

Wann-Ming Wey ◽

Ti-Ching Peng

Keyword(s):

Big Data ◽

Analytic Network Process ◽

Assessment Framework ◽

Sustainable City ◽

Network Process

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Application of Big Data and Analytic Network Process for the Adaptive Reuse Strategies of School Land

Social Indicators Research ◽

10.1007/s11205-018-1951-y ◽

2018 ◽

Vol 142 (3) ◽

pp. 1075-1102 ◽

Cited By ~ 4

Author(s):

Jhong-You Huang ◽

Wann-Ming Wey

Keyword(s):

Big Data ◽

Adaptive Reuse ◽

Analytic Network Process ◽

Network Process

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A Use of Fuzzy TOPSIS to Improve the Network Selection in Wireless Multiaccess Environments

Journal of Computer Networks and Communications ◽

10.1155/2020/3408326 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Mouad Mansouri ◽

Cherkaoui Leghris

Keyword(s):

Fuzzy Topsis ◽

Analytic Network Process ◽

Vertical Handover ◽

Network Selection ◽

Mobile Terminals ◽

Access Technology ◽

Ideal Situation ◽

Network Process ◽

Selection Step ◽

Order Preference

Constantly faster, mobile terminals are developing, as well as wireless networks, to satisfy the growth of “Always Best Connected” demand. Users nowadays want to access the best available wireless network, either from 3GPP or IEEE group technologies, wherever they are, without losing their sessions. Consequently, mobile terminals must seamlessly transfer the communications to another access technology (vertical handover) if needed, as they often move into heterogeneous wireless environments. This work aims to optimize the network selection step in the vertical handover process. Multiattribute Decision-Making methods naturally fit this context. Nevertheless, they make wrong handover decisions sometimes, due to imprecise data collected from the metrics. This manuscript presents the use of a hybrid method, combining the fuzzy technique for order preference by similarity to the ideal situation and fuzzy analytic network process, in the network selection, to improve the quality of service and avoid, as much as possible, unnecessary handovers. The results demonstrate that this combination is the best, compared to the other methods of the same type in the network selection context.

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Personalized Real-Time Virtual Tours In Places With Cultural Interest

International Journal of Computational Methods in Heritage Science ◽

10.4018/ijcmhs.2019010104 ◽

2019 ◽

Vol 3 (1) ◽

pp. 52-68

Author(s):

Emmanouil Skondras ◽

Konstantina Siountri ◽

Angelos Michalas ◽

Dimitrios D. Vergados

Keyword(s):

Real Time ◽

Fuzzy Topsis ◽

Analytic Network Process ◽

User Preferences ◽

Route Selection ◽

Web Ontology Language ◽

Ontology Language ◽

Cultural Sites ◽

Network Process ◽

Cultural Interest

Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.

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A Hybrid Methodology for Prioritizing of Store Plan Alternatives Produced with Rule-Based Design

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622021500486 ◽

2021 ◽

pp. 1-25

Author(s):

Yavuz Ozdemir ◽

Sahika Ozdemir ◽

Kemal Gokhan Nalbant

Keyword(s):

Design Method ◽

Hybrid Approach ◽

Fuzzy Topsis ◽

Analytic Network Process ◽

Rule Base ◽

Rule Based ◽

Network Process ◽

Computer Environment ◽

Interval Type

With the widespread use of computers, in the design world, rule-based design methods, which can work in harmony with computer logic and can be easily adapted to the computer environment, have come to the fore. It is possible to analyze the logic of a design made with the rule-based design method. It is even possible to change the design which is placed on the rule base by removing the rules, in the computer environment, or creating new designs with the same design logic. In this paper, a new hybrid model is proposed based on Interval Type-2 Fuzzy Analytic Network Process (IT2 FANP) and Interval Type-2 Fuzzy TOPSIS (IT2 Fuzzy TOPSIS) for the evaluation of store plan alternatives produced with rule-based design method. The IT2 FANP method is used to determine the weight of criteria determined by experts in the selection of store plan alternatives. Then, the IT2 Fuzzy TOPSIS method is used to obtain the ranking of alternatives with Interval Type-2 trapezoidal fuzzy numbers. The originality of the paper comes from the first-time usage of a hybrid approach based on IT2 FANP and IT2 Fuzzy TOPSIS methodology in the prioritizing of store plan alternatives produced with rule-based design method.

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Application of Fuzzy Analytic Network Process and Fuzzy TOPSIS to the Undesirable Location Selection Problem

Web-Based Green Products Life Cycle Management Systems ◽

10.4018/978-1-60566-114-8.ch009 ◽

2010 ◽

pp. 208-231 ◽

Cited By ~ 1

Author(s):

Semih Önüt ◽

Selin Soner Kara ◽

Derya Tekin

Keyword(s):

Selection Process ◽

Multiple Criteria Decision Making ◽

Fuzzy Topsis ◽

Analytic Network Process ◽

Location Selection ◽

Facility Locations ◽

Selection Problems ◽

Network Process ◽

Topsis Technique ◽

Fuzzy Analytic Network Process

In this chapter, a combined fuzzy multiple criteria decision making (MCDM) methodology for supporting the undesirable location selection process is presented. The undesirable location selection process is formulated by using the fuzzy analytic network process (FANP), one of MCDM methods, which is used to evaluate the most suitable alternatives of undesirable facility locations. Then, the fuzzy TOPSIS (technique for order performance by similarity to ideal solution) is used to rank competing locations in terms of overall performances. Since different alternatives and various quantitative, qualitative, tangible, and intangible criteria should be considered in the selection process, fuzzy MCDM methods have been found to be a useful approach to solve this kind of location selection problems including vagueness and imprecision in the human judgments.

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Creating value using public big data: comparison of driving factors from the provider's perspective

Information Technology and People ◽

10.1108/itp-04-2019-0169 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ji Yeon Cho ◽

Bong Gyou Lee

Keyword(s):

Big Data ◽

Public Sector ◽

Open Data ◽

Analytic Network Process ◽

Analytic Hierarchy ◽

Content Type ◽

The Public ◽

Open Government Data ◽

Network Process ◽

Government Data

PurposeThe revitalization of big data has gained attention in the public sector. However, such open government data (OGD) is facing major challenges with respect to data quality and limited use. To solve this problem, this study analyzes the factors driving the use of OGD from the perspective of data providers in the public sector.Design/methodology/approachUsing the analytic hierarchy process and analytic network process methodologies, the importance of the factors driving the use of big data in the public sector was ranked. In addition, the different characteristics of tasks among the departments in a public agency were compared based on expert interviews.FindingsThe factors driving OGD use are not only political environment or the technological environment. The importance of the institutional culture within the organization increases with the motivation of the data provider. The priorities of the OGD factors also depend on the objectives of the department involved.Originality/valueThis study provides implications for improving the publication of open data by analyzing the priorities of the factors driving its use from the perspective of big data providers. It focuses on different perceptions of the factors valued by public officials in charge of data in institutions. The results suggest the need to explore officials' perceptions of value creation in big data fields.

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