Sparse and distributed Analytic Hierarchy Process

Oliva, Gabriele; Setola, Roberto; Scala, Antonio

doi:10.1016/j.automatica.2017.07.051

Cited by 38 publications

(24 citation statements)

References 18 publications

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“…The index system of physical environment for human settlements in the study area can be analyzed using the analytical hierarchy process (AHP). More recent references on AHP can be found in Ivanco et al (2017), Oliva et al (2017), Ahmed and Kilic (2018), and Ho and Ma (2018), among others.…”

Section: Evaluation Methodsmentioning

confidence: 99%

Spatial characteristics of physical environments for human settlements in Jinsha River watershed (Yunnan section), China

Xia

Dong

2019

Geomatics, Natural Hazards and Risk

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In recent years, natural disasters such as earthquakes, landslides, mudslides, collapses, drought, and extreme temperature occur frequently in Yunnan Jinsha River watershed, causing deterioration of physical environments for human settlements in some areas of the watershed. Although several studies have addressed individual environmental elements in the study area, efforts for integrated analysis of environmental factors and human settlements are still lacking. Therefore, it is important to identify the spatial distribution of physical environments for human settlements to support population distribution planning. This study includes 10 factors (topography, landform, vegetation, elevation, fault, rock, soil, earthquake intensity, temperature, and precipitation) as indicators for the assessment of human settlement suitability based on the analytic hierarchy process and grey correlation methods. Geographic information system functions were used to help understand the spatial distribution of human settlements and the causal factors. This study reveals different spatial units of the watershed suitable for human habitation from the viewpoint of physical environment and provides recommendations for urban planning and siting, land use planning, and disaster mitigation in the watershed.

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Section: Evaluation Methodsmentioning

confidence: 99%

Spatial characteristics of physical environments for human settlements in Jinsha River watershed (Yunnan section), China

Xia

Dong

2019

Geomatics, Natural Hazards and Risk

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“…Another research direction regarded the extensions of inconsistency indices to the calculation of inconsistency of incomplete PCMs and possibly the real-time prediction, while filling the entries, of the inconsistency of the complete PCM (Wedley 1993). For example, λ max always exists for a PCM, but deeper results were necessary to extend it to incomplete PCMs (Oliva, Setola, and Scala 2017). The capacity of an inconsistency index to be extensible to incomplete PCMs should be considered a good property.…”

Section: Incomplete Pairwise Comparison Matricesmentioning

confidence: 99%

A survey of inconsistency indices for pairwise comparisons

Brunelli

2018

International Journal of General Systems

112

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Pairwise comparisons are a well-established tool to compare weights of criteria and alternatives or, more in general, any entities. Their ultimate goal is to facilitate the search for a suitable weight vector. In this context, the concepts of inconsistency and inconsistency index have emerged. This manuscript has two goals. Firstly, it surveys the most relevant inconsistency indices by means of a self-contained exposition. Secondly, by analyzing recent trends and milestones it presents some conclusions and a discussion on possible directions of future research.

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“…The weighting method this thesis adopts mainly includes the following: (1) subjective weighting method such as delphi method and AHP [14][15][16][17] (Analytic Hierarchy Process); (2) objective weighting method like the correlation coefficient method and the entropy method [15,18,19]; (3) combination weighting method for example the additive and multiplicative synthesis combination weighting method. Based on improved AHP method, Lu et al [20] carried out evaluation analysis on sitting comfort with Delphi experiment.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Comprehensive Evaluation on Body Parts’ Weight Coefficients towards Sitting Comfort Based on AHP to Limit Entropy Method

Gao

et al. 2019

Mathematical Problems in Engineering

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In order to quantify the effects of different body parts on sitting comfort, an ontology model for sitting comfort in "human-machine" system was established. In light of the subjectivity and arbitrariness issue of AHP, as well as the characteristic of entropy method be vulnerable to disturbed by extremum, a new weighting method was implemented which corrects subjective data with objective data, named AHP to limit entropy method. An overall comfort formula was created containing shoulder, back, waist, buttock, and thigh. Finally, three other vehicle's seats were tested as comparative verification, with a result showing that the weighted method was effective. And this method can provide an effective approach for evaluating sitting comfort.

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Sparse and distributed Analytic Hierarchy Process

Cited by 38 publications

References 18 publications

Spatial characteristics of physical environments for human settlements in Jinsha River watershed (Yunnan section), China

Spatial characteristics of physical environments for human settlements in Jinsha River watershed (Yunnan section), China

A survey of inconsistency indices for pairwise comparisons

Fuzzy Comprehensive Evaluation on Body Parts’ Weight Coefficients towards Sitting Comfort Based on AHP to Limit Entropy Method

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