scholarly journals Exploring multicriteria decision strategies in GIS with linguistic quantifiers: A case study of residential quality evaluation

2005 ◽  
Vol 7 (2) ◽  
pp. 249-268 ◽  
Author(s):  
Jacek Malczewski ◽  
Claus Rinner
2021 ◽  
Author(s):  
Jacek Malczewski ◽  
Claus Rinner

Commonly used GIS combination operators such as Boolean conjunction/disjunction and weighted linear combination can be generalized to the ordered weighted averaging (OWA) family of operators. This multicriteria evaluation method allows decision-makers to define a decision strategy on a continuum between pessimistic and optimistic strategies. Recently, OWA has been introduced to GIS-based decision support systems. We propose to extend a previous implementation of OWA with linguistic quantifiers to simplify the definition of decision strategies and to facilitate an exploratory analysis of multiple criteria. The linguistic quantifier-guided OWA procedure is illustrated using a dataset for evaluating residential quality of neighborhoods in London, Ontario. <div><br></div><div>This is a post-peer-review, pre-copyedit version of an article published in Journal of Geographical Systems. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10109-005-0159-2 <br></div>


2021 ◽  
Author(s):  
Jacek Malczewski ◽  
Claus Rinner

Commonly used GIS combination operators such as Boolean conjunction/disjunction and weighted linear combination can be generalized to the ordered weighted averaging (OWA) family of operators. This multicriteria evaluation method allows decision-makers to define a decision strategy on a continuum between pessimistic and optimistic strategies. Recently, OWA has been introduced to GIS-based decision support systems. We propose to extend a previous implementation of OWA with linguistic quantifiers to simplify the definition of decision strategies and to facilitate an exploratory analysis of multiple criteria. The linguistic quantifier-guided OWA procedure is illustrated using a dataset for evaluating residential quality of neighborhoods in London, Ontario. <div><br></div><div>This is a post-peer-review, pre-copyedit version of an article published in Journal of Geographical Systems. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10109-005-0159-2 <br></div>


2018 ◽  
Vol 17 (8) ◽  
pp. 1791-1804 ◽  
Author(s):  
Maria Gavrilescu ◽  
Elena-Diana Comanita ◽  
Petronela Cozma ◽  
Isabela Maria Simion ◽  
Mihaela Rosca

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Monika Jurkeviciute ◽  
Amia Enam ◽  
Johanna Torres-Bonilla ◽  
Henrik Eriksson

Abstract Background Summative eHealth evaluations frequently lack quality, which affects the generalizability of the evidence, and its use in practice and further research. To guarantee quality, a number of activities are recommended in the guidelines for evaluation planning. This study aimed to examine a case of an eHealth evaluation planning in a multi-national and interdisciplinary setting and to provide recommendations for eHealth evaluation planning guidelines. Methods An empirical eHealth evaluation process was developed through a case study. The empirical process was compared with selected guidelines for eHealth evaluation planning using a pattern-matching technique. Results Planning in the interdisciplinary and multi-national team demanded extensive negotiation and alignment to support the future use of the evidence created. The evaluation planning guidelines did not provide specific strategies for different set-ups of the evaluation teams. Further, they did not address important aspects of quality evaluation, such as feasibility analysis of the outcome measures and data collection, monitoring of data quality, and consideration of the methods and measures employed in similar evaluations. Conclusions Activities to prevent quality problems need to be incorporated in the guidelines for evaluation planning. Additionally, evaluators could benefit from guidance in evaluation planning related to the different set-ups of the evaluation teams.


2021 ◽  
Vol 36 (9) ◽  
pp. 2350
Author(s):  
Si-nan LI ◽  
Xiao-qing ZHAO ◽  
Jun-wei PU ◽  
Qian WANG ◽  
Pei-pei MIAO ◽  
...  

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