843 research outputs found
Toward a More Accurate Web Service Selection Using Modified Interval DEA Models with Undesirable Outputs
With the growing number of Web services on the internet, there is a challenge to
select the best Web service which can offer more quality-of-service (QoS) values at the
lowest price. Another challenge is the uncertainty of QoS values over time due to the
unpredictable nature of the internet. In this paper, we modify the interval data envelopment
analysis (DEA) models [Wang, Greatbanks and Yang (2005)] for QoS-aware Web service
selection considering the uncertainty of QoS attributes in the presence of desirable and
undesirable factors. We conduct a set of experiments using a synthesized dataset to show the
capabilities of the proposed models. The experimental results show that the correlation
between the proposed models and the interval DEA models is significant. Also, the
proposed models provide almost robust results and represent more stable behavior than the
interval DEA models against QoS variations. Finally, we demonstrate the usefulness of the
proposed models for QoS-aware Web service composition. Experimental results indicate
that the proposed models significantly improve the fitness of the resultant compositions when
they filter out unsatisfactory candidate services for each abstract service in the
preprocessing phase. These models help users to select the best possible cloud service
considering the dynamic internet environment and they help service providers to
improve their Web services in the marke
A generalized fuzzy Multiple-Layer NDEA: An application to performance-based budgeting
Network data envelopment analysis (NDEA) is capable of considering operations and interdependence of a system’s component processes to measure efficiencies. There are numerous performance evaluation applications in which some indicators have hierarchical structures with a considerable number of sub-indicators. This problem of ignoring the hierarchical structure of indicators weakens the discrimination power of NDEA models and may result in inaccurate efficiency scores. In this paper we propose a generalized fuzzy Multiple-Layer NDEA (GFML-NDEA) model and GFML-NDEA-based composite indicators (GFML-NDEA-CI) to incorporate the hierarchical structures of indicators in the ambit of the particular two-stage NDEA models. To demonstrate the usefulness of the GFMLNDEA-CI model proposed, its application was tested by evaluating the efficiency of the performance-based budgeting (PBB) system in 14 governmental agencies in Iran. The comparative analysis results obtained from the GFML-NDEA-CI (multi-layer) model with those from the single-layer fuzzy NDEA-CI model indicate that the number of efficient decision-making units (DMUs) in the one-layer model is eight, whereas it is solely one DMU in the multi-layer model. The discrimination power of the multi-layer model proposed is significantly increased by observing that standard deviation of efficiency scores are increased by 41%, 61%, and 84% for possibility levels 0, 0.5, and 1, respectively. This is obtained while reducing information entropy, thus suggesting that the proposed model yields more reliable scores
A hybrid performance evaluation approach for urban logistics using extended cross-efficiency with prospect theory and OWA operator
Urban logistics performance evaluation can provide reference for further
improving its level. However, most performance evaluation for
urban logistics premises that decision-makers (DMs) are completely
rational, which may not conform to the actual situation. Therefore,
this article aims to consider the DMs’ psychological factors in the performance
evaluation of urban logistics. Specifically, the cross-efficiency
evaluation (CEE) method with the DMs’ psychological factors
is used to measure the urban logistics efficiency in the central area of
Yangtze River Delta (YRD) urban agglomeration in China in 2019. The
main contributions in this article are to propose a hybrid CEE method
with prospect theory and ordered weighted average (OWA) operator
for urban logistics industry and to expand the evaluation perspectives
of urban logistics performance. The main conclusions are
obtained: (1) The DMs’ optimism level can indeed affect the efficiency
value and ranking of urban logistics. (2) The aggregation
based on the OWA operator is fair and reasonable because it can
make all self-evaluation efficiencies play the same role. (3) To make
the efficiencies and rankings of urban logistics in the central area of
the YRD have credibility and discrimination, the DMs’ optimism level
range is best between 0.8 and 0.8177
An application of TOPSIS for ranking internet web browsers
Web browser is one of the most important internet facilities for surfing the internet. A good web browser must incorporate literally tens of features such as integrated search engine, automatic updates, etc. Each year, ten web browsers are formally introduced as top best reviewers by some organizations. In this paper, we propose the implementation of TOPSIS technique to rank ten web browsers. The proposed model of this paper uses five criteria including speed, features, security, technical support and supported configurations. In terms of speed, Safari is the best web reviewer followed by Google Chrome and Internet Explorer while Opera is the best web reviewer when we look into 20 different features. We have also ranked these web browsers using all five categories together and the results indicate that Opera, Internet explorer, Firefox and Google Chrome are the best web browsers to be chosen
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Risk management and risk control for state-owned firms of China
As global economic integration deepens and enterprises scale up their business, the enterprise groups have become the mainstream of the company's development form. Subsidiaries of the Company have grown in size and increasingly diversified. Thus how does the parent Company control its subsidiaries effectively has become an urgent challenge, especially for the state-owned enterprises in China. This thesis studies the management and control of state-owned enterprises in China, carrying certain theoretical and practical significance.
The research examined the theory and mechanism of management of SOEs, and evaluation on employee performance. It also analyzed performance evaluation, coordination and risk control strategies of SOEs' subsidiaries. The same studies were repeated on state-owned enterprise groups and extended to the strategies of risk management and risk control.
The thesis first examined the conundrum of effective cooperation between subsidiaries of different departments and the parent company for efficient allocation of resources. To tackle this headache, the IAHP and DEA model were adopted to help group decision makers better measure the performance of employees and organizations. The thesis used the Balanced Scorecard (BSC) tool as the main principle and the combination of fuzzy mathematics and Delphi and entropy weight methods as the main methodology to assess the performance. In addition, a novel method of using multi-reasoning, multi-dimensional and dynamic factors was developed to assess the performance of SOE employees, and this method was proven to be effective. Moreover, the super-efficiency DEA model which takes into account work performance, work ability, work attitude, job potential and other factors in the evaluation on employee performance was developed and tested. Finally, risk map for SOEs was proposed and evaluated
VIKOR Technique:A Systematic Review of the State of the Art Literature on Methodologies and Applications
The main objective of this paper is to present a systematic review of the VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method in several application areas such as sustainability and renewable energy. This study reviewed a total of 176 papers, published in 2004 to 2015, from 83 high-ranking journals; most of which were related to Operational Research, Management Sciences, decision making, sustainability and renewable energy and were extracted from the “Web of Science and Scopus” databases. Papers were classified into 15 main application areas. Furthermore, papers were categorized based on the nationalities of authors, dates of publications, techniques and methods, type of studies, the names of the journals and studies purposes. The results of this study indicated that more papers on VIKOR technique were published in 2013 than in any other year. In addition, 13 papers were published about sustainability and renewable energy fields. Furthermore, VIKOR and fuzzy VIKOR methods, had the first rank in use. Additionally, the Journal of Expert Systems with Applications was the most significant journal in this study, with 27 publications on the topic. Finally, Taiwan had the first rank from 22 nationalities which used VIKOR technique
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