An integrated AHP‐TOPSIS framework for foreign direct investment in Turkey

Çalık, Ahmet; Çizmecioğlu, Sinan; Akpınar, Ayhan

doi:10.1002/mcda.1692

Cited by 31 publications

(15 citation statements)

References 41 publications

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“…Both AHP and TOPSIS methods are easy to use and can be even implemented in spreadsheets [53]. For these, numerous applications that integrate AHP and TOPSIS methods for solving various decision problems are found in the literature such as safety risk assessments [26], [54]- [56] and many other applications [57]- [65].…”

Section: B Selection Of the Mcdm Methods For The Modelmentioning

confidence: 99%

A Decision Support Model for Prioritization of Regulated Safety Inspections Using Integrated Delphi, AHP and Double-Hierarchical TOPSIS Approach

Zytoon

2020

IEEE Access

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Planning regulated occupational safety and health (OSH) inspections is dependent on the prioritization scheme followed by inspection agencies. It is probable that the methods used by OSH inspectorates for decision making on inspection priorities is not efficient enough to cover all the hazardous firms which is evidenced by less than expected reduction in injury rates in many countries. The objective of the current research is to present a prioritization model based on four criteria comprising thirteen subcriteria using an integrated Delphi, AHP and Double-Hierarchical TOPSIS (DH-TOPSIS) approach. The decision main and subcriteria as well as their pairwise comparisons were decided by a group of experts through a Delphi methodology. In addition, the weights of the main and subcriteria were determined using AHP method. Unlike the commonly applied TOPSIS method which uses subcriteria global weights in a single calculation process, the DH-TOPSIS method uses the local weights of the subcriteria to calculate the priority index of the alternatives (firms) with respect to the main criteria in a first TOPSIS calculation cycle. The resulting priority index is used as the evaluation scores of the firms in a second TOPSIS calculation cycle to prioritize firms for subsequent inspections. The DH-TOPSIS performed better than the global weight, single TOPSIS (GWS-TOPSIS) method with respect to the probability that the best alternative has the shortest distance to the ideal solution. Furthermore, the proposed model has a stable prioritization performance without rank reversal. As such, it is dynamic in handling large number of alternatives making it appropriate for prioritization of firms for OSH inspections. This approach can be further integrated with an appropriate scheduling methodology to improve the effectiveness of OSH inspections. INDEX TERMS AHP-TOPSIS, Delphi, double hierarchical TOPSIS, multicriteria decision making, regulated OSH inspections, safety inspections prioritization.

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Section: B Selection Of the Mcdm Methods For The Modelmentioning

confidence: 99%

A Decision Support Model for Prioritization of Regulated Safety Inspections Using Integrated Delphi, AHP and Double-Hierarchical TOPSIS Approach

Zytoon

2020

IEEE Access

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“…For ranking, the TOPSIS approach was implemented. The various steps for completing the TOPSIS approach are performance matrix normalization, weighted normalization, Euclidian distances formation, and performance index computation 14–19 …”

Section: Experimental Detailmentioning

confidence: 99%

“…Over the previous years, different multiple‐criteria decision‐making methods were effectively executed to investigate brake friction composite optimization 12,13 . The technique for order preference by similarity to ideal solutions (TOPSIS) method is prevalent and frequently utilized to solve various engineering and management decision‐making problems 14–19 . Chodha et al 15 proposed the TOPSIS method for selecting an industrial arc welding robot.…”

Section: Introductionmentioning

confidence: 99%

“…Chodha et al 15 proposed the TOPSIS method for selecting an industrial arc welding robot. TOPSIS method was used to compare different edible coatings for improving strawberries shelf‐life by Khodaei et al 16 Çalık et al 17 used TOPSIS for analyzing a foreign direct investment in Turkey. Chauhan et al 18 used the TOPSIS approach for the ranking analysis of energy performance prioritization.…”

Section: Introductionmentioning

confidence: 99%

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A hybrid multiple‐criteria decision‐making approach for selecting optimal automotive brake friction composite

Singh

2021

Mat Design & Process Comms

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In this research article, a hybrid multiple‐criteria decision‐making approach was implemented to select the optimal brake friction formulation according to several conflicting performance‐defining criteria. Friction material formulations based on different abrasives (magnesium oxide, iron oxide, zinc oxide, aluminum oxide, titanium dioxide, zirconium dioxide, and silicon dioxide) were designed, fabricated, and tested for various tribological properties. The inclusions of aluminum oxide proved best from performance and fade coefficient of friction, friction stability, friction fluctuations, and friction variability point of view but confirmed worst in terms of wear and disc temperature rise. The lowest wear and lowest rise in disc temperature were exhibited by zinc oxide added composite. The highest recovery coefficient of friction was displayed by silicon dioxide added composite. Since no single composite alternative could merely satisfy all the desired attributes. To find the optimum composite option for automotive braking application, hybrid analytic hierarchy process (AHP)–criteria importance through intercriteria correlation (CRITIC)–technique for order of preference by similarity to ideal solution (TOPSIS) was used to make the final decision. The results show that the formulation with titanium dioxide as abrasive exhibits the optimal properties.

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“…where μ max represents the eigenvalue that corresponds to the pair-wise comparison matrix and n represents the number of different elements considered for the comparison. CR is determined as follows [22]:…”

Section: Multicriteria Decision Analysis (Mcda)mentioning

confidence: 99%

Efficient Routing Approach Using a Collaborative Strategy

Aziz

Aznaoui

2020

Journal of Sensors

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Wireless sensor networks (WSNs) are a huge number of sensors, which are distributed in area monitoring to collect important signals. WSNs are widely used in several applications such as home automation, environment, and healthcare monitoring. However, most of these applications face various difficulties due to sensor design. Therefore, the major challenge of designing WSNs is saving the energy consumed during communication and extending the network lifetime. Multicriteria Decision Analysis (MCDA) methods have been exploited for saving network energy. However, the majority of researches focus on the Cluster Head (CH) selection. In this paper, we aim to enhance the process of forwarder selection using an efficient combined multicriteria model. The proposed scheme improved the intercluster communication by controlling the distance separating CHs from the sink node. To minimize the cluster density, this work consists of activating only sensor nodes that detect enough strong signals. The activation phase presents a fault-tolerant technique to succeed in the communication process. Moreover, the proposed work is aimed at selecting the most efficient hops, which are responsible for routing data to the sink using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. Simulation results proved that our new protocol maximized the residual energy by 15% and 25% and the network lifetime by 35% and 47% compared to the Distributed Clustering Protocol using Voting and Priority (DCPVP) and Low-Energy Adaptive Clustering Hierarchy (LEACH), respectively.

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An integrated AHP‐TOPSIS framework for foreign direct investment in Turkey

Cited by 31 publications

References 41 publications

A Decision Support Model for Prioritization of Regulated Safety Inspections Using Integrated Delphi, AHP and Double-Hierarchical TOPSIS Approach

A Decision Support Model for Prioritization of Regulated Safety Inspections Using Integrated Delphi, AHP and Double-Hierarchical TOPSIS Approach

A hybrid multiple‐criteria decision‐making approach for selecting optimal automotive brake friction composite

Efficient Routing Approach Using a Collaborative Strategy

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