Results 201 to 210 of about 99,257 (234)

Fuzzy AHP for forest fire risk modeling

Disaster Prevention and Management: An International Journal, 2012
PurposeThe purpose of study is linked to management and policy‐making strategies, such as forest management, land use planning and sustainable management of natural resources. It aims to help prevent forest fire by taking precautions. It also aims to be helpful for authorities coping during the event of occurrence of fire.Design/methodology/approachThe
Laxmi Kant Sharma, Shruti Kanga, Mahendra Singh Nathawat, Suman Sinha, Prem Chandra Pandey   +4 more
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An AHP model for construction contractor prequalification

Operational Research, 2006
Given that contractor plays a critical role in any construction project, contractor selection constitutes key decision for public authorities. Prequalification, i.e. the elimination of incompetent contractors from the bidding process according to a predetermined set of criteria, is a frequently practiced procedure in many countries, including Greece ...
K. P. Anagnostopoulos, A. P. Vavatsikos
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A multi-criteria decision-making model to increase productivity: AHP and fuzzy AHP approach

International Journal of Intelligent Systems Technologies and Applications, 2013
Productivity improvement is posing a great challenge for industries every day because of the difficulties in keeping track and prioritising the variables that have significant impact on productivity. Therefore, this research aims to address this challenge by defining different attributes that play pivotal role on productivity from the management ...
Md. Ainul Kabir, Hasan Habibul Latif, Sudipa Sarker   +2 more
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A function point analysis model based-AHP

The 2nd International Conference on Information Science and Engineering, 2010
Function point analysis is a method of software size measurement. It has become the mainstream software measurement methods in software engineering. Traditional function point analysis method makes adjustment to the results by generic system characteristics. But it exist limitations.
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EDUCING INCONSISTENCY IN FUZZY AHP BY MATHEMATICAL PROGRAMMING MODELS

Asia-Pacific Journal of Operational Research, 2004
The inconsistency of judgments in the fuzzy Analytic Hierarchy Process (AHP) is a crucial issue. To make the appropriate decision, the inconsistency in decision maker's (DM) judgments needs to be eliminated or reduced. This paper proposes two mathematical models to deal with inconsistency in fuzzy AHP.
Ghazanfari, Mehdi, Nojavan, Majid
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Building AHP Models Using Super Decisions v2

2016
Super Decisions (Super decisions, 2015) is a software package developed for the analysis, synthesis, and justification of complex decisions based on the analytic hierarchy process (AHP) methodology.
Enrique Mu, Milagros Pereyra-Rojas
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AHP Models with Sub-criteria Using v3

2017
In many situations, it is necessary to add sub-criteria to one or more of the original criteria. The process is very straightforward as it will be shown here. Also, readers are encouraged to review all the Super Decisions documentation provided by the software developer (www.superdecisions.com).
Enrique Mu, Milagros Pereyra-Rojas
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An AHP-GP model for determining weights

Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2002
Based on the methodologies of the analytic hierarchy process (AHP) and goal programming (GP) the paper presents a goal programming model that can easily determine the index weights by utilizing only the upper triangular elements of the pairwise comparison matrix in AHP.
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Building AHP Models Using Super Decisions v3

2017
Super Decisions v3 is the latest version of the software package developed for the analysis, synthesis, and justification of complex decisions based on the analytic hierarchy process (AHP) methodology.
Enrique Mu, Milagros Pereyra-Rojas
openaire   +1 more source

AHP-MODEL OF FORESTRY MANAGEMENT

1998
Ecological and economical value of Croatian forests is growing, as well as the possibilities of implementation of operational research methods in forestry management. Multicriterion analysis can improve the decision making process in forestry management.
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