scholarly journals Efficiency of Polder Modernization for Flood Protection. Case Study of Golina Polder (Poland)

2020 ◽  
Vol 12 (19) ◽  
pp. 8056
Author(s):  
Ireneusz Laks ◽  
Zbigniew Walczak
Keyword(s):  
Decision Support ◽  
Fuzzy Ahp ◽  
Land Development ◽  
Flood Protection ◽  
Current State ◽  
Decision Methods ◽  
Historical Objects ◽  
Support Methods ◽  
Flood Protection System

This paper presents an analysis of the effectiveness of variants of the reconstruction of a polder, which is part of the flood protection system of a large urban agglomeration. The Golina polder, located in the floodplain of the Warta River, was selected as the case study. The multi-criteria decision support methods AHP and Fuzzy AHP were used to assess the effectiveness of individual variants. Information on the floods from 1997 and 2010, data on land cover, land development, nature and historical objects were used to estimate the value of the coefficients for the multi-criteria decision methods. It was shown that the planned deep modernization of the hydrotechnical infrastructure and the purchase of land in the polder area is less effective than maintaining the current state of development of the polder.

On Validating Design Decision Methodologies

2003 ◽  
Author(s):  
Andrew T. Olewnik ◽  
Kemper E. Lewis
Keyword(s):  
Decision Support ◽  
Design Methodology ◽  
Critical Evaluation ◽  
General Definition ◽  
Design Decision ◽  
Formal Definition ◽  
House Of Quality ◽  
Decision Methods ◽  
Definition Of ◽  
Support Methods

In this paper an argument for validation of design decision methods is presented. In the process of justifying the need for validation, the elements of what a valid design methodology is are derived and a formal definition is presented. Under this definition, critical evaluation of two popular decision support methods, the House of Quality and Suh’s Axiomatic Design, is presented using a simple design problem and both are shown to be flawed under the proposed definition of validity. This does not imply that the methods are ineffective. In fact, under the appropriate assumptions, they are quite useful. However, in this paper, an investigation of the validity of these assumptions is conducted, including a more general definition of validity with respect to decision support methods in design.

scholarly journals Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 68 ◽  
Author(s):  
Franz Tscheikner-Gratl ◽  
Patrick Egger ◽  
Wolfgang Rauch ◽  
Manfred Kleidorfer
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Economic Value ◽  
Urban Infrastructure ◽  
Water Systems ◽  
Urban Water ◽  
Management Scheme ◽  
Support Methods

The decisions taken in rehabilitation planning for the urban water networks will have a long lasting impact on the functionality and quality of future services provided by urban infrastructure. These decisions can be assisted by different approaches ranging from linear depreciation for estimating the economic value of the network over using a deterioration model to assess the probability of failure or the technical service life to sophisticated multi-criteria decision support systems. Subsequently, the aim of this paper is to compare five available multi-criteria decision-making (MCDM) methods (ELECTRE, AHP, WSM, TOPSIS, and PROMETHEE) for the application in an integrated rehabilitation management scheme for a real world case study and analyze them with respect to their suitability to be used in integrated asset management of water systems. The results of the different methods are not equal. This occurs because the chosen score scales, weights and the resulting distributions of the scores within the criteria do not have the same impact on all the methods. Independently of the method used, the decision maker must be familiar with its strengths but also weaknesses. Therefore, in some cases, it would be rational to use one of the simplest methods. However, to check for consistency and increase the reliability of the results, the application of several methods is encouraged.

Applying voting theory in participatory decision support for sustainable timber harvesting

2004 ◽  
Vol 34 (7) ◽  
pp. 1511-1524 ◽  
Author(s):  
Sanna Laukkanen ◽  
Teijo Palander ◽  
Jyrki Kangas
Keyword(s):  
Decision Support ◽  
Interest Groups ◽  
Timber Harvesting ◽  
Forest Area ◽  
Voting Theory ◽  
Rural Municipality ◽  
Support Methods ◽  
Decision Support Method ◽  
Support Decision Making

Several multi-criteria decision support methods have been introduced to sustainable management of natural resources, but different methods suit different planning situations. One way to support decision-making is to apply voting theory. In this study, a multi-criteria decision-support method based on voting theory, called multicriteria approval (MA), is applied to wood supply chain management in a forest area owned by the state of Finland. The area is called Leikko and is located in the rural municipality of Pieksämäki. MA seems to have some promising features in relation to participatory decision support. The most essential advantages are its ease and comprehensibility. MA is also able to deal with ordinal and imprecise information. Since the method does not demand much preference information from interest groups, the inquiries may be conducted using the Internet. In the case study, nine timber-harvesting alternatives were devised for the forest area. The study involved seven interest groups, whose representatives defined seven criteria by which the alternatives were compared. The purpose was to find a consensus or compromise solution for a practical harvesting schedule. Two different versions of MA were tested and compared from the participatory decision-support aspect. Usability and ease of method, the comprehensibility of the inquiries, and the congruence of the results were examined.

scholarly journals DECISION SUPPORT SYSTEM SELECTION OF THE BEST CITILINK AGENT CALL CENTER USING THE FUZZY AHP METHOD (Analytical Hierarchy Process)

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
M. MAHAPUTRA HIDAYAT ◽  
SYARIFUL ALIM ◽  
DHANU BUDI PANGESTU
Keyword(s):  
Decision Support ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Call Center ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
System Selection ◽  
Hierarchy Process ◽  
Selection Of

For the selection of employees, there are usually many factors in fulfilling the assessment in order to get a maximum target. Especially in the field of call centers, it is required to have qualified skills which can solve problems complained of by customers. So that as a call center who receives incoming calls or can be called inbound calls, it must be the key to solving problems and be able to convey good suggestions. However, to get the value of the agent so that its performance is good, there are parameters that must be achieved, namely acd call, acd time, aux time, available time, staffed time and agent skill. best. By doing this, the monitoring system is very easy and more efficient to find out which agents are underperforming or agents who have reached the performance target. For this reason, an application with a case study was created in order to achieve the maximum target. This application will greatly help the team, namely Teamleader, Taber, Spv, Manager as they play an important role in evaluating agents in their performance.

scholarly journals Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Wei Zhou ◽  
Xuexun Guo ◽  
Xiaofei Pei ◽  
Chengcai Zhang ◽  
Jun Yan ◽  
...  
Keyword(s):  
Fuzzy Ahp ◽  
Subjective Evaluation ◽  
Objective Evaluation ◽  
Dual Clutch Transmission ◽  
Evaluation Tool ◽  
Passenger Cars ◽  
Denoising Method ◽  
Fuzzy Matrix ◽  
Predictability Score

This paper is aimed at the problem that the subjective drivability evaluation by experienced test drivers is limited in time efficiency and is of high cost and poor repeatability. In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT.

scholarly journals Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

2021 ◽  
Vol 10 (6) ◽  
pp. 386
Author(s):  
Jennie Gray ◽  
Lisa Buckner ◽  
Alexis Comber
Keyword(s):  
Social Dynamics ◽  
Feature Space ◽  
Social Processes ◽  
Multiple Time ◽  
Current State ◽  
Cluster Label ◽  
Static Data ◽  
The Social ◽  
Using Data

This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. State changes can also be used to determine neighbourhood trajectories and to predict or infer future states. A list of data primitives was suggested from a review of the mechanisms driving a number of neighbourhood-level social processes, with the aim of improving the wider understanding of the interaction of complex neighbourhood processes and their effects. A small case study was provided to illustrate the approach. In this way, the methods outlined in this paper suggest a more nuanced approach to geodemographic research, away from a focus on classifications and static data, towards approaches that capture the social dynamics experienced by neighbourhoods.

scholarly journals Decision Support for the (Inter-)Basin Management of Water Resources Using Integrated Hydro-Economic Modeling

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 42
Author(s):  
Gerald Norbert Souza da Silva ◽  
Márcia Maria Guedes Alcoforado de Moraes
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Allocation ◽  
Hydrological Modeling ◽  
Well Being ◽  
Water Transfer ◽  
Economic Modeling ◽  
Trade Offs ◽  
Study Results

The development of adequate modeling at the basin level to establish public policies has an important role in managing water resources. Hydro-economic models can measure the economic effects of structural and non-structural measures, land and water management, ecosystem services and development needs. Motivated by the need of improving water allocation using economic criteria, in this study, a Spatial Decision Support System (SDSS) with a hydro-economic optimization model (HEAL system) was developed and used for the identification and analysis of an optimal economic allocation of water resources in a case study: the sub-middle basin of the São Francisco River in Brazil. The developed SDSS (HEAL system) made the economically optimum allocation available to analyze water allocation conflicts and trade-offs. With the aim of providing a tool for integrated economic-hydrological modeling, not only for researchers but also for decision-makers and stakeholders, the HEAL system can support decision-making on the design of regulatory and economic management instruments in practice. The case study results showed, for example, that the marginal benefit function obtained for inter-basin water transfer, can contribute for supporting the design of water pricing and water transfer decisions, during periods of water scarcity, for the well-being in both basins.

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