A Vikor-Based Multiple Criteria Decision Method for Improving Information Security Risk

Yang, Yu Ping Ou; Shieh, How Ming; Leu, Jun-Der; Tzeng, Gwo Hshiung

doi:10.1142/s0219622009003375

Cited by 111 publications

(49 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, this was more suitable than traditional applications for solving real-world applications. Thus, the procedures for establishing an INRM [81][82][83][84][85][86] entail the following steps.…”

Section: Constructing the Inrm Of Mobile Health Care Based On The Demmentioning

confidence: 99%

“…It deals with dependence and feedback problems on only two levels: dimensions (or clusters) and criteria (inner dimensions/clusters). The diagonal matrix is assumed to be independent (zero matrix ) or self-related (identity matrix I), and the weighted super-matrix is obtained using equal weights (ignoring the influence of different degrees) for the dimensions [81][82]88]. Saaty's ANP eliminates the limitation of AHP, which assumes that the criteria (inner and outer dimensions and clusters) are all independent.…”

Section: Obtaining the Influential Weights Of Criteria And Dimensionsmentioning

confidence: 99%

“…no alternatives) through the bridging of performance-gap improvement by considering all perspectives (dimensions) and criteria [81], with the aim of achieving the aspiration level.…”

Section: ﾧ (18)mentioning

confidence: 99%

See 2 more Smart Citations

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

Preprint

Self Cite

View full text Add to dashboard Cite

IntroductionMobile health care is an important aspect of electronic medicine that involves using mobile devices (e.g., mobile phones, tablet computers, and personal digital assistants) to provide medical services and health information to patients [1]. Health care faces numerous problems, including high medical costs, restricted coverage, complex medical procedures, and uneven distribution of resources [2]. Mobile health care can help to reduce medical costs and waiting times and improve the efficiency of medical resources use [3]. Mobile health care involves the following categories [4]: (1) Mobile phone applications such as Chun Yu Yi Sheng, which acts as an information exchange platform linking doctors and patients, and comprehensive mobile health care platforms that hospital service providers can apply for appointment registrations, payments, and medical alerts. (2) The collection of users' medical data through wearable devices or mobile intelligent terminals for health monitoring. For example, Kangkang launched a portable intelligent sphygmomanometer that can dynamically monitor blood pressure over a 24-hour period and automatically send data to a corresponding server. Users can view their 24-hour blood pressure analysis report through WeChat. (3) Diagnosis systems that connect with the Internet of Things (IoT). For example, an integrated diagnosis system developed by German researchers can transmit medical data to smart phones through Bluetooth technology. Smartphones applications can then process these data for reference and diagnosis.With the development of mobile networks, many countries have entered the 4G era and benefit from continuously improving mobile communication networks and innovation in software and hardware technology. Abstract: Identifying the key influence factors of mobile health care adoption is a key issue. We established an evaluation index system for consumer adoption and verified the effectiveness of our model by using a DDANPMV model. This model comprises three parts: (1) the decision making trial and evaluation laboratory (DEMATEL) technique, which is used to establish an influence network relationship map at both the "dimensions" and "criteria" levels; (2) a DEMATEL-based analytic network process (ANP; DANP), which determines the interrelationships and influential weights among the criteria; and (3) a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which applies the influence weights obtained through DANP to performance gaps regarding consumer perception. VIKOR thereby evaluates and improves performance gaps with the aims of satisfying consumer needs, achieving continuous improvement, and enabling sustainable product development. The main innovation of this method is the construction of the DDANPMV model, which integrates the DEMATEL, DANP, and modified VIKOR approaches to examine consumers' adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option b...

show abstract

Section: Constructing the Inrm Of Mobile Health Care Based On The Demmentioning

confidence: 99%

Section: Obtaining the Influential Weights Of Criteria And Dimensionsmentioning

confidence: 99%

See 1 more Smart Citation

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Step 5: Set the threshold value (α) For eliminating some minor effects elements in matrix T to find the impact-relations map, Yang et al [5] suggest their threshold value below; 3 New DEMATEL theory based on Liu's polytomous ordering theory…”

Section: The Traditional Dematelmentioning

confidence: 99%

“…Decision Making Trial and Evaluation Laboratory (DEMATEL) was developed by Gabus and Fontela [1], Fontela and Gabus [2], and it can be used to resolve complex and difficult problems in the world, up to now, it has been widely used as one of the best tools to solve the cause and effect relationship among the evaluation factors [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A novel DEMATEL theory based on Liu’s polytomous ordering theory

Shia

Tsai

2016

MATEC Web Conf.

View full text Add to dashboard Cite

Abstract. The most important issue in DEMATEL theory is how to obtain a reliable initial direct relation matrix with order n, the traditional theory obtains it by using the pair-wise comparison method, in which, each respondent must answer n(n-1) times pair-wise comparisons of all of the direct influences, if n is a large number, the work of pair-wise comparing is becoming hard, time-consuming, and unreliable. In this paper, for overcoming above drawbacks, we replace the pair-wise comparison method with Liu's ordering theory to find the initial direct relation matrix. This new method without pair-wise comparing can be used for any order n, a simple example was also provided in this paper to illustrate the advantages of the proposed theory.

show abstract

Multicriteria decision‐making techniques for avoiding similar task scheduling conflict in cloud computing

Nayak

Parida²,

Tripathy

et al. 2019

Int J Communication

View full text Add to dashboard Cite

SummaryAn efficient task scheduling approach shows promising way to achieve better resource utilization in cloud computing. Various task scheduling approaches with optimization and decision‐making techniques have been discussed up to now. These approaches ignored scheduling conflict among the similar tasks. The conflict often leads to miss the deadlines of the tasks. The work studies the implementation of the MCDM (multicriteria decision‐making) techniques in backfilling algorithm to execute deadline‐based tasks in cloud computing. In general, the tasks are selected as backfill tasks, whose role is to provide ideal resources to other tasks in the backfilling approach. The selection of the backfill task is challenging one, when there are similar tasks. It creates conflict in the scheduling. In cloud computing, the deadline‐based tasks have multiple parameters such as arrival time, number of VMs (virtual machines), start time, duration of execution, and deadline. In this work, we present the deadline‐based task scheduling algorithm as an MCDM problem and discuss the MCDM techniques: AHP (Analytical Hierarchy Process), VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje), and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to avoid similar task scheduling conflicts. We simulate the backfilling algorithm along with three MCDM mechanisms to avoid scheduling conflicts among the similar tasks. The synthetic workloads are considered to study the performance of the proposed scheduling algorithm. The mechanism suggests an efficient VM allocation and its utilization for deadline‐based tasks in the cloud environment.

show abstract

A Vikor-Based Multiple Criteria Decision Method for Improving Information Security Risk

Cited by 111 publications

References 18 publications

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

A novel DEMATEL theory based on Liu’s polytomous ordering theory

Multicriteria decision‐making techniques for avoiding similar task scheduling conflict in cloud computing

Contact Info

Product

Resources

About