Recently, cloud services and computing have revolutionized both academic research and industrial practices. Numerous hardware and software providers have joined the intensely competitive cloud services market. At the ...
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Recently, cloud services and computing have revolutionized both academic research and industrial practices. Numerous hardware and software providers have joined the intensely competitive cloud services market. At the same time, a corresponding focus on evaluation of the industry is growing apace. Investigations are currently under way into how to incorporate the dynamic and intermediate processes in cloud service companies' business models. This paper intends to develop some alternative models of network data envelopment analysis (NDEA) for evaluating cloud service businesses. By considering various internal functions and processes of the services in multi-period settings, we design three evaluation models: (1) dynamic black-box data envelopment analysis (DBDEA);(2) static network data envelopment analysis (SNDEA);and (3) dynamic network data envelopment analysis (DNDEA). Using multi-objective programming (MOP) techniques, the three NDEA models are formulated and solved for the cloud service industry. An empirical study is conducted to evaluate the performance of the cloud service industry. (C) 2017 Elsevier Inc. All rights reserved.
Triangular Atanassov's intuitionistic fuzzy number (TAIFN) has better ability to model fuzzy ill-defined quantity. The information aggregation of TAIFNs is of great importance in multi-attribute group decision-mak...
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Triangular Atanassov's intuitionistic fuzzy number (TAIFN) has better ability to model fuzzy ill-defined quantity. The information aggregation of TAIFNs is of great importance in multi-attribute group decision-making (MAGDM). In this paper, some arithmetic aggregation operators for TAIFNs are defined, with the triangular Atanassov's intuitionistic fuzzy weighted average (TAIFWA) operator, ordered weighted average (TAIFOWA) operator and hybrid weighted average (TAIFHWA) operator included. Then we further investigate the Atanassov's triangular intuitionistic fuzzy generalized ordered weighted average (TAIFGOWA) operator and generalized hybrid weighted average (TAIFGHWA) operator. Some desirable and useful properties of these operators, such as idempotence, monotonicity and boundedness, are also discussed. For the MAGDM with TAIFNs and incomplete attribute weight information, a multi-objective programming model is constructed by minimizing total deviation between all alternatives and fuzzy positive ideal solution, which is transformed into a linear goal programming. Consequently, the attribute weights are objectively derived. Thereby, an innovated MAGDM method is proposed on the basis of the TAIFWA and TAIFGHWA operators. Finally, a green supplier selection example is provided to illuminate the practicability of the proposed method in this paper.
This article deals with the uncertainties in a multivariate stratified sampling problem. The uncertain parameters of the problem, such as stratum standard deviations, measurement costs, travel costs and total budget o...
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This article deals with the uncertainties in a multivariate stratified sampling problem. The uncertain parameters of the problem, such as stratum standard deviations, measurement costs, travel costs and total budget of the survey, are considered as parabolic fuzzy numbers and the problem is formulated as a fuzzy multi-objective nonlinear programming problem with quadratic cost function. Using -cut, parabolic fuzzy numbers are defuzzified and then the compromise allocations of the problem are obtained by fuzzy programming for a prescribed value of . To demonstrate the utility of the proposed problem a numerical example is solved with the help of [LINGO User?s Guid. Lindo Systems Inc., 1415 North Dayton Street, Chicago,Illinois-60622, (USA), 2013] software and the derived compromise optimum allocation is compared with deterministic and proportional allocations.
The expected rate of earnings and risk of high-tech projects are very fuzzy, and investors hope to get the expected rate of earnings maximization and risk minimization. Therefore, this paper establishes the model of f...
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ISBN:
(纸本)9783037850978
The expected rate of earnings and risk of high-tech projects are very fuzzy, and investors hope to get the expected rate of earnings maximization and risk minimization. Therefore, this paper establishes the model of fuzzy multi-objective programming method to select an optimal portfolio scheme. On the one hand, the objectives risk can be scattered, on the other hand investors can get ideal earnings. The example shows that this method to solve problems of portfolio investment decision is feasible and effective.
Data envelopment analysis (DEA) is a well-known approach to measuring operations performance of decision-making units (DMUs). Moreover, the balanced scorecard (BSC) is a methodology for strategic planning of organizat...
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Data envelopment analysis (DEA) is a well-known approach to measuring operations performance of decision-making units (DMUs). Moreover, the balanced scorecard (BSC) is a methodology for strategic planning of organizations and measuring their internal performance. DEA generally uses quantity measures, whereas BSC applies quality measures. In the real world, DMUs usually have complex structures such as multi-level or hierarchical structures. In these structures, there are multiple levels and each level utilizes inputs to produce outputs separately, where the outputs of the previous level are the inputs to the next level. In the present paper, we apply BSC to the design of a multi-level structure. BSC encompasses the four perspectives of finance, customers, internal processes, and learning & growth. Furthermore, we apply DEA to multi-stage or hierarchical structures based on BSC. For this purpose, two different approaches, the cooperative model versus the multi-objective model, are proposed. Cooperative models such as bargaining games are game theoretic approaches to evaluate DMUs. In this paper, the DEA-game model uses the bargaining concept to link perspectives in BSC, while each perspective is considered separately as an objective in the multi-objective DEA model. In addition, two approaches are compared based on the related results. We also employ data on Iranian cement companies to show the different capabilities of each approach. Our findings demonstrate that the DEA-game model is capable of differentiating the cement companies from each other more effectively.
In traditional K-means, the target function only considered the intra-cluster similarities and did not take into account the differences among categories. In order to take into account both the firmness in the same cl...
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ISBN:
(纸本)9781538635247
In traditional K-means, the target function only considered the intra-cluster similarities and did not take into account the differences among categories. In order to take into account both the firmness in the same cluster and the dispersion between different clusters, a new objective function based on ideal point is given, and the K-means algorithm based on quasi ideal point method is provided. A density-based approach is used to initialize clustering centers. Experimental results show that the improved algorithm obtains more accurate clustering solutions.
Improving supply chain performance is desirable for both practitioners and academics. In this regard, supply chain visibility is a crucial issue and has drawn much attention during recent years. Hence, this study exam...
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Improving supply chain performance is desirable for both practitioners and academics. In this regard, supply chain visibility is a crucial issue and has drawn much attention during recent years. Hence, this study examines the impact of visibility in the supplier selection problem by presenting a multi-objective approach. The global criterion method has been utilized to integrate the triple objectives of visibility maximization, defective or delayed parts minimization and finally cost minimization by assigning equal weights to the mentioned objectives. Meanwhile, minimizing the total number of defective or delayed parts has a significant positive role on supply chain performance and therefore it is considered as an independent objective. Furthermore, supply chain costs are considered more extensively in this study and incorporate the main inventory costs including buyer costs and supplier costs, according to the supply chain visibility. Afterwards, the global criterion method function is minimized under the constraints of budget limitation, fulfilment of entire demand, satisfying the minimum level of demand provided by each supplier and the production capacity of each supplier. Then, a numerical example is provided to illustrate the applicability of the presented multi-objective approach. From the final results it is perceivable that visibility enhancement is a desirable goal for supply chain members, in spite of higher expenditure.
The location problem of treatment and service facilities in municipal solid waste (MSW) management system is of significant importance due to the socioeconomic and environmental concerns. The consideration of waste tr...
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Community Based Organizations (CBOs) are important health system stakeholders with the mission of addressing the social and economic needs of individuals and groups in a defined geographic area, usually no larger than...
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Community Based Organizations (CBOs) are important health system stakeholders with the mission of addressing the social and economic needs of individuals and groups in a defined geographic area, usually no larger than a county. The access and success efforts of CBOs vary, depending on the integration between health care providers and CBOs but also in relation to the community participation level. To achieve widespread results, it is important to carefully design an efficient network which can serve as a bridge between the community and the health care system. This study addresses this challenge through a location-allocation model that deals with the hierarchical nature of the system explicitly. To reflect social welfare concerns of equity, local accessibility, and efficiency, we develop the model in a multi-objective framework, capturing the ambiguity in the decision makers' aspiration levels through a fuzzy goal programming approach. This study reports the findings for the real case of Shiraz city, Fars province, Iran, obtained by a thorough analysis of the results.
The systematic performance evaluation of the organizations as well as the target setting are key aspects for its proper operation and viability. Thus, the adoption of evaluation methods is necessary, which are capable...
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The systematic performance evaluation of the organizations as well as the target setting are key aspects for its proper operation and viability. Thus, the adoption of evaluation methods is necessary, which are capable of taking into account all the environmental factors of the organization, identifying the inefficient production processes and suggesting adequate ways to improve them. Such a method is Data Envelopment Analysis (DEA), which is the most popular non-parametric technique for assessing the efficiency of homogeneous decision making units (DMUs) that use multiple inputs to produce multiple outputs. The DMUs may consist of several sub-processes (also known as stages, sub-units, divisions etc.) that interact and perform various operations. However, the classical DEA models treat the DMU as a "black box", i. e. a single stage production process that transforms some external inputs to final outputs. In such a setting, the internal structure of the DMU is not taken into consideration. Thus, the conventional DEA models fail to mathematically represent the internal characteristics of the DMUs, as well as they fall short to provide precise results and useful information regarding the sources that cause inefficiency. In order to take into account for the internal structure of the DMUs, recent methodological advancements are developed, which extend the standard DEA and constitute a new field, namely the network DEA. The network DEA methods are capable of reflecting accurately the DMUs' internal operations as well as to incorporate their relationships and interdependences. In network DEA, the DMU is considered as a network of interconnected sub-units, with the connections indicating the flow of intermediate products (commonly called intermediate measures or links). An indicative example of such a DMU is a supply chain, which has a network structure and is composed of several members whose performances affect the overall performance of the supply chain. Therefore, the
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