Implementing telecommunications infrastructure: A rural America case

Nazem, Sufi M.; Liu, Yi‐Hsin; Lee, Heeseok; Shi, Yong

doi:10.1016/0736-5853(95)00012-7

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…The other problem underlying the binary mathematical programming approach is that the system that is going to be designed is usually huge. Therefore, the size of the binary mathematical programming problem in real-world situations can lead to a sizeable computational burden (see Lee et al 1994;Nazem et al 1994Nazem et al , 1996. Moreover, the solution of the model provides the "optimum design", but it does not state how acceptable each potential hub is, which can be problematic in some cases.…”

Section: Introductionmentioning

confidence: 99%

Optimum acceptability of telecommunications networks: a multi-criteria approach

et al. 2018

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This paper proposes an aggregated index of acceptability that can establish a "ranking" of the possible candidate hub cities in the design of a telecommunications network. The main advantages of the aggregated index proposed are the following: (a) it takes into account several wide-ranging design criteria, (b) its formulation is given by a lineal mathematical expression, (c) the procedure for calculating the index is very simple, and (d) the candidate hubs can be ranked differently depending on the aggregation structure of the criteria involved. Taking this considerations, the application of the proposed methodology can supplement the information supplied by more sophisticated multicriteria approaches based generally upon 0/1 goal programming. The theory presented is illustrated using a case study taken from the literature.

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Section: Introductionmentioning

confidence: 99%

Optimum acceptability of telecommunications networks: a multi-criteria approach

et al. 2018

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“…Lee et al (2001) and Nazem et al (1996) use MCDM methods such as compromise programming, in the selection of hub cities for a telecommunications network that spans several rural communities. Douligeris and Pereira (1994) use AHP for selection of telecommunications network vendors and technologies such as fiber distributed data interface (FDDI) and distributed queue dual bus (DQDB).…”

Section: Introductionmentioning

confidence: 99%

Decision support models for the selection of internet access technologies in rural communities

Malladi

Min

2005

Telematics and Informatics

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“…This raises the need for some kind of structure or model, based on a suitable multicriteria decision making (MCDM) method. Some relevant papers cited in literature tackling problems from rural telecommunications field using such methods, with particular focus on the application of analytic hierarchy process (AHP) to rural telecommunications include: Nazem et al [1] use the AHP, to develop a two-phased decision support system to aid the design of rural area telecommunication networks and in [2] examines ways of building an effective rural telecommunications network to facilitate rural development in an information-intensive society. Lee and Kim [3] present a methodology using analytic network process and zero-one goal programming (ZOGP) for information systems projects selection problems that have multiple criteria and interdependence property.…”

Section: Introductionmentioning

confidence: 99%

Rural Telecommunications Infrastructure Selection Using the Analytic Network Process

Gasiea,

Emsley,

Mikhailov

2010

JTIT

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The decisions involved in rural settings are of complex nature, with some aspects compounded by the presence of intangible criteria. Hence, a suitable approach is needed that can produce effective solutions. This paper describes the applicability of a multicriteria decision-making method, specifically the analytic network process (ANP), to model the selection of an appropriate telecommunications infrastructure technology, capable of deploying e-services in rural areas of developing countries. It aims to raise awareness among telecommunication planners about the availability of ANP, and to demonstrate its suitability to enhance the selection process. The proposed model is constructed based on concerned experts’ views of relevant selection criteria and potential technology alternatives. Its network structure caters for all possible dependencies and interactions among criteria and alternatives.

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Implementing telecommunications infrastructure: A rural America case

Cited by 10 publications

References 12 publications

Optimum acceptability of telecommunications networks: a multi-criteria approach

Optimum acceptability of telecommunications networks: a multi-criteria approach

Decision support models for the selection of internet access technologies in rural communities

Rural Telecommunications Infrastructure Selection Using the Analytic Network Process

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