scholarly journals The susceptibility assessment of multi-hazard in the Pearl River Delta Economic Zone, China

2018 ◽  
Author(s):  
Chuanming Ma ◽  
Xiaoyu Wu ◽  
Bin Li ◽  
Ximei Hu
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Difference Method ◽  
Decision Makers ◽  
Hazard Map ◽  
Geological Hazards ◽  
Susceptibility Assessment ◽  
Analytic Hierarchy ◽  
The Difference ◽  
Hierarchy Process

Abstract. The multi-hazard susceptibility assessment can provide a basis to decision-making for land use planning and geo-hazards management. The main scope of this paper is assess multi-hazard susceptibility to identify susceptibility area by using an integrated method of the Analytic Hierarchy Process (AHP) and the Difference Method (MD) within MapGIS environment. The basic principle of this method is to predict future geological hazards based on occurrence mechanism of occurred geological hazards and the geological conditions that caused past geological hazards. Typical geo-hazards susceptibility are separately assessed by applying Analytic Hierarchy Process (AHP). The multi-hazard susceptibility is completed by synthesizing individual geo-hazards susceptibility result with the Difference Method (MD), the multi-hazard susceptibility map is generated by utilizing MapGIS platform. The multi-hazard map can provide decision-makers with visual information for geo-hazards management and land use planning, which reduce confusion of decision-makers on high number of individual geo-hazard map. The study area was categorized into high susceptibility zone, moderate susceptibility zone, low susceptibility zone, and insusceptible zone, accounting for 16.5 %, 41.6 %, 33.8 % and 8.1 % of the total study area, respectively. The multi-hazad susceptibility result can be combined with other conditions to provide decision-makers with theoretical basis for geo-hzards management and planning of development.

scholarly journals Establishment of Natural Hazards Mapping Criteria Using Analytic Hierarchy Process (AHP)

2021 ◽  
Vol 2 ◽  
Author(s):  
Florentino F. Morales ◽  
Walter Timo de Vries
Keyword(s):  
Land Use ◽  
Analytic Hierarchy Process ◽  
Natural Hazards ◽  
Land Use Planning ◽  
The Philippines ◽  
Decision Makers ◽  
Economic Losses ◽  
Hazard Mapping ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Despite the large number of studies on natural hazards mapping and modeling, an increasing number of disasters still occur worldwide. Floods, landslides, and tsunamis, among others, consistently hit vulnerable countries, resulting in increasing death tolls and economic losses in the last decades. The increased reliability of available hazard maps is still insufficient when not fully integrated and incorporated in the respective communities' land use plans. As a pro-active and preventive approach in combatting disasters, land use planning requires the relevant stakeholders' active participation. This study derives the most crucial criteria in the eyes of planners, experts, and decision-makers for natural hazards mapping as part of land use planning and part of disaster risk reduction. These stakeholders and experts establish criteria for flood, landslide, earthquake and storm surge hazard mapping through Multi-criteria Evaluation (MCE). The MCE technique compares the relative merits of different spatially related criteria following the Analytic Hierarchy Process (AHP) through pair-wise comparisons of criteria by experts and the decision-makers. This research process derives a general and consistent list of criteria for hazard mapping initially developed and based in the Philippines, which can be used in subsequent GIS analysis. Results further show the advantages of using AHP in a multi-criteria analysis for decision-making and compliance.

scholarly journals Using the analytic hierarchy process to create an erosion risk map. A case study in Malakasiotiko stream, Trikala perfecture

2007 ◽  
Vol 40 (4) ◽  
pp. 1904 ◽  
Author(s):  
G. Bathrellos ◽  
H. Skilodimou
Keyword(s):  
Land Use ◽  
Analytic Hierarchy Process ◽  
Land Use Planning ◽  
Drainage Basin ◽  
Drainage Density ◽  
Risk Map ◽  
Analytic Hierarchy ◽  
Erosion Risk ◽  
The Impact ◽  
Hierarchy Process

This study is aimed at the evaluation of the erosion risk at the drainage basin of Malakasiotiko stream in Trikala prefecture, using a Geographic Information System (GIS). A database from six factors that influence erosion namely slope, lithology, drainage density, tectonic features density, land use and rainfall inserted into GIS. Each factor was grouped in various classes. A method known as Analytic Hierarchy Process (ΑΗΡ) was applied to rate the individual classes of each factor and weight the impact of one factor against the other in order to determination their importance to erosion process. The results of the ΑΗΡ application in combination with GIS techniques were used to estimate the overall erosion risk and create the erosion risk map. The study area was divided into three zones of erosion risk. High erosion risk zones are mostly located on the northwest, west and south parts of the drainage basin of Malakasiotiko stream. The erosion risk map of the study area can be a useful geologic and géomorphologie criterion for the land use planning.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

scholarly journals A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

scholarly journals Evaluating and ranking the circular supply chain implementation enablers

2021 ◽  
Author(s):  
Swapnil Lahane ◽  
◽  
Himanshu Prajapati ◽  
Ravi Kant ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Global Climate ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Effective Implementation ◽  
Manufacturing Organizations ◽  
Scarcity Of Resources ◽  
Hierarchy Process

This research aims to evaluate and rank the Circular Supply Chain (CSC) enablers for the effective implementation of CSC management. From the literature and input received from industrial experts, 30 CSC enablers are identified. Further, the selected CSC enablers are classified into seven main categories. This research employs the Pythagorean fuzzy analytic hierarchy process (PF-AHP) technique to prioritize the selected CSC enablers based on pairwise comparison of criteria and sub-criteria. The effectiveness of the proposed method is illustrated with the help of responses received from an Indian manufacturing industry. The result reveals that global climate pressure and ecological scarcity of resources is the most significant enabler and the environment management certifications and systems is the least important enabler. The result of the present study will assist the practitioners / decision makers in implementing CSC in manufacturing organizations by adopting the ranking obtained in a systematic way.

scholarly journals MULTI CRITERIA DECISION MAKING – RANKING AND PROMOTING EMPLOYEES

2019 ◽  
Vol 31 (5) ◽  
pp. 1235-1241
Author(s):  
Marina Badarovska Mishevska
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Decision Makers ◽  
Decision Making Process ◽  
Specific Situation ◽  
Mathematical Tool ◽  
Analytic Hierarchy ◽  
The Right ◽  
Term Performance ◽  
Hierarchy Process

The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. The method was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It has particular application in group decision making and is used around the world in a wide variety of decision situation. Rather than prescribing a "correct" decision, the AHP helps decision makers choose one that best suits their goal and their understanding of the problem. The technique provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. Decision making is the choice of one alternative, from two or more, to which the course of the activity is directed and the problem is solved. The decision-making process is a rational attempt by the manager to achieve the goals of the organizational unit. The decision-making process can be thought of as a "brain and nervous system" of an enterprise. Decisions are made when a person wants things to be different in the future. Given each specific situation, making the right decisions is probably one of the most difficult challenges for managers. Managers in day-to-day work deliver programmed and unprogrammed decisions that solve simple or complex problems. Simple decisions have an impact on the short-term performance of the enterprise, and complex decisions have an impact on the long-term future and success of the enterprise. Users of the AHP first decompose their decision problem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently. Once the hierarchy is built, the decision makers systematically evaluate its various elements by comparing them to each other two at a time, with respect to their impact on an element above them in the hierarchy. The AHP converts these evaluations to numerical values that can be processed and compared over the entire range of the problem. In this article, it is explained the application of the AHP method in order to evaluate and promote employees in the enterprise "X" with several criteria. The obtained results enable the manager to evaluate the employees in an objective way and make an objective decision for their promotion. Its application for selecting the best among employees, in their assessment and promotion, allows managers to use a specific and mathematical tool to support the decision. This tool not only supports and qualifies decisions, it also allows managers to justify their choice, as well as to simulate possible results.

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