Using ANP priorities with goal programming in resource allocation in transportation

Wey, Wann-Ming; Wu, Kaiyi

doi:10.1016/j.mcm.2007.03.017

Cited by 109 publications

(44 citation statements)

References 21 publications

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“…Table 12 gives the most cited 20 articles in this field. [190] 2007 35 There is no study on fuzzy ANP using the extended fuzzy sets, including hesitant, type-2 and intutionistic fuzzy sets.…”

Section: Fuzzy Anp Methodsmentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

440

194

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Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.

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Section: Fuzzy Anp Methodsmentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

440

194

View full text Add to dashboard Cite

show abstract

“…Liu and Chen (2007) presented a systemic procedure to combine the AHP and the FDM for assessing slope rock mass quality estimates, and the FDM was used to synthesize the responses of the questionnaires from the experts. Wey and Wu (2007) proposed a transportation infrastructure selection methodology which reflects interdependencies among evaluation criteria and candidate projects using the FDM and the ANP and formulates a zeroone goal programming model. Büyüközkan and Ruan (2008) used a weighted FDM to determine the aggregated fuzzy weight of criteria and proposed a fuzzy multi-criteria decision approach in evaluating software development projects.…”

Section: Delphi Methodsmentioning

confidence: 99%

An integrated fuzzy QFD framework for new product development

Lee

Lin

2011

Flex Serv Manuf J

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An important source of competitive advantage, survival and renewal for firms is the successful new product development (NPD). Quality function deployment (QFD) aims to facilitate the NPD process from product conceptualization to production requirements; however, conventional QFD has its shortcomings. Even though modified QFD models have been proposed in literature, a comprehensive model is necessary. In this paper, factors in each phase of the QFD is prepared first through literature review and interview with domain experts. Fuzzy Delphi method is adopted to select the critical factors, and fuzzy interpretive structural modeling is applied to determine the relationships among the critical factors. The results are then used to construct houses of quality for QFD, which is incorporated by fuzzy analytic network process. A case study of a thin film transistor liquid crystal display firm is carried out to verify the practicality of the proposed framework.

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“…In literature, different approaches are used to achieve the objective using different techniques such as the analytical network process (ANP) and analytical hierarchy process (AHP). In this paper, the ANP is used as it is widely used in literature in different fields such as software engineering, wireless sensor network (WSN), VANETS, and resource management [26][27][28][29]. In software engineering, an ANP is used for software component selection.…”

Section: Multicriteria Decision-makingmentioning

confidence: 99%

Multicriteria‐Based Location Privacy Preservation in Vehicular Ad Hoc Networks

et al. 2018

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.Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives' candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives' ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.

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Using ANP priorities with goal programming in resource allocation in transportation

Cited by 109 publications

References 21 publications

Fuzzy Multicriteria Decision-Making: A Literature Review

Fuzzy Multicriteria Decision-Making: A Literature Review

An integrated fuzzy QFD framework for new product development

Multicriteria‐Based Location Privacy Preservation in Vehicular Ad Hoc Networks

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