An interval matrix method used to optimize the decision matrix in AHP technique for land subsidence susceptibility mapping

Ghorbanzadeh, Omid; Feizizadeh, Bakhtiar; Blaschke, Thomas

doi:10.1007/s12665-018-7758-y

Cited by 72 publications

(40 citation statements)

References 59 publications

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“…The AHP approach is one of the most applied MCDM methods imposes a hierarchical structure on problems. The AHP approach is popular due to the simplicity of obtaining the criteria weights based on expert knowledge [35] but it suffers from inner and outer interactions, with little feedback between the different components and alternatives in the decision-making process [56]. Moreover, any inaccurate comparison of experts in the PCMs can be directly transferred to the weights and thus impact the criteria ranking [57].…”

Section: Comparing Results and Discussionmentioning

confidence: 99%

“…The decision makers or different groups of decision makers are sometimes not actually fully aware of the nature of the criteria or they have their own preferences with respect to compare the criteria [34]. In addition, not all groups or members of a group will agree on a value for a specific criterion, and they will rarely attain agreement on a full set of weightings for decision-making [35]. The difficulties of using AHP are magnified when one considers a multi-criteria problem which is fully participatory.…”

Section: Literature Review On Mcdm For Transportation and Consultatiomentioning

confidence: 99%

“…Thus, we can say that if P and Q have acceptable CRs, then matrix A also has an acceptable CR. Otherwise, matrix A is not consistent [35,53].…”

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confidence: 99%

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Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

et al. 2018

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Sustainable urban transport requires smart and environmentally-friendly technical solutions. It also needs to meet the demands of different user groups, including current and potential future users, in order to avoid opposition of the citizens and to support sustainable development decisions. While these requirements are well-known, conducting full surveys of user needs and preferences are tedious and costly, and the interests of different user groups may be contradictory. We therefore developed a methodology based on the prevalent Analytic Hierarchy Process (AHP), which is capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups. For a case study in Mersin, a coastal city in southern Turkey with 1.7 Million inhabitants, three groups were surveyed with questionnaires: 40 users of the public transport system, 40 non-users, and 17 experts. Based on interval pairwise comparison matrices, consisting of whole judgments of all groups, the IAHP methodology could attain a consensual preference ranking for a future public transportation system between the three groups. A sensitivity analysis revealed that the factor ranking was very stable.

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Section: Comparing Results and Discussionmentioning

confidence: 99%

Section: Literature Review On Mcdm For Transportation and Consultatiomentioning

confidence: 99%

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Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

et al. 2018

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“…AHP has some disadvantages because decision maker's preferences are often not linearly related to data (Sánchez, ). The common limitation and weakness in the GIS‐MCDA process is that many of the experts involved are not confident of using crisp numbers to express their opinions in pairwise comparison matrices for multicriteria problems (Ghorbanzadeh, Feizizadeh, & Blaschke, ). On the contrary to AHP methodology, the most important property of DEA methodology is the definition of the relationship between the criteria and the alternatives.…”

Section: Resultsmentioning

confidence: 99%

Assessment of irrigation water quality by a Geographic Information System–Multicriteria Decision Analysis‐based model: A case study from Ankara, Turkey

Kavurmaci

Apaydın

2019

Water Environment Research

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In this study, the irrigation water quality of Eryaman region in Ankara (Turkey) has been investigated using a Geographic Information System-Multicriteria Decision Analysis (GIS-MCDA)-based model. Two different irrigation water quality indices (IWQI-A and IWQI-B) based on Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) have been developed to provide a single suitability score for all criteria of irrigation water quality. The irrigation water quality indices were composed of 3 main criteria and 11 sub-criteria. Based on irrigation water quality indices, four suitability classes have been identified as (a) excellent, (b) good, (c) permissible, and (d) unsuitable. Irrigation water quality maps were created by using kriging method and the water quality index scores. The temporal variation of irrigation water quality was evaluated using the models created for July 2007, 2010, and 2015 years. The most suitable areas for irrigation water are concentrated in the eastern and western parts of the region where the IWQI-B scores were >0.85. In recent years, the deterioration in irrigation water quality has increased in the southern parts of the basin. This research has demonstrated that the indices created by using DEA and AHP methods are reliable indicators to assess irrigation water quality. • Practitioner points• Water quality indices can be used to depict the overall water quality status in water management planning. • To avoid problems when modeling groundwater quality, the factors that have the most effect on water quality should be selected. • Analytic Hierarchy Process and Data Envelopment Analysis techniques are efficient and reliable methods to determine water quality.

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“…Although the AHP method aims to capture experts' knowledge, the conventional AHP still cannot take into account the human thinking style. The traditional AHP method has some limitations by using the exact values to express the decision-makers' judgments in a comparison of alternatives [25,44]. As the comparison of indicators in the traditional AHP method is based on expert judgments, some degree of inconsistency may transfer from uncertain comparisons to the results [39][40][41][42][43]45].…”

Section: Integration Approach Of Fuzzy Ahp (Analytical Hierarchy Procmentioning

confidence: 99%

Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services

Naboureh

Feizizadeh

Naboureh

et al. 2019

IJGI

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The appropriate locations of road emergency stations (RESs) can help to decrease the impact of traffic accidents that cause around 50 million injuries per year worldwide. In this research, the appropriateness of existing RESs in the Khuzestan province, Iran, was assessed using an integrated fuzzy analytical hierarchy process (FAHP) and geographic information system (GIS) approach. The data used in this research were collected from different sources, including the department of roads, the department of health, the statistics organization, forensics, police centers, the surveying and geological department, remotely-sensed and global positioning system (GPS) data of accident high crash zones. On the basis of previous studies and the requirements of the Ministry of Health and Medical Education, as well as the department of roads of Iran for the location of RESs, nine criteria and 19 sub-criteria were adopted, including population, safety, environmental indicators, compatible area in RES, incompatible area in RES, type of road, accident high crash zones, traffic level and performance radius. The FAHP yielded the criteria weights and the ideal locations for establishing RESs using GIS analysis and aggregation functions. The resulting map matched the known road accident and high crash zones very well. The results indicated that the current RES stations are not distributed appropriately along the major roads of the Khuzestan province, and a re-arrangement is suggested. The finding of the present study can help decision-makers and authorities to achieve sustainable road safety in the case study area.of medical services, such as pre-hospital medical and transportation, trauma care and assistance for people who in need of emergency care [7]. Definitions differ, but in most cases, the geographical availability and provision of services are introduced as main factors [8,9]. Choosing optimal locations for emergency stations can help to achieve these aims. The locations of road emergency stations (RESs) are one of the most critical factors that can play a role in the degree of damage caused by accidents. Proper distribution of RESs is key to being able to respond to accidents within a standard time [10]. Therefore, determining optimum locations for RESs is a vital issue that road administrators face [11].After cardiovascular diseases, road accidents are the main reason for death in Iran [12][13][14]. Iran has a very high rate of road accidents; it is twenty times greater than that of the world's average [15]. The number of fatalities per 100,000 people per year for Iran is 32.1 (Figure 1). According to a UNICEF report, every 19 min one person passes away on Iran's roads, and every 2 min somebody is informed that one of his/her family members has survived a crash accident but with severe injury that may cause lifetime disability [16]. Each year, road traffic accidents cause the death of almost 28,000 people and disable or injure 300,000 more in Iran [12]. Cost of traffic fatalities in Iran is estimated at $6 billion U.S. every y...

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An interval matrix method used to optimize the decision matrix in AHP technique for land subsidence susceptibility mapping

Cited by 72 publications

References 59 publications

Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

Assessment of irrigation water quality by a Geographic Information System–Multicriteria Decision Analysis‐based model: A case study from Ankara, Turkey

Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services

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