Fuzzy AHP Model Research Articles

A new approach to the allocation of the blue water footprint of reservoirs using fuzzy AHP model

In some areas of the world, water reservoirs are the main water resources available for different purposes, including hydroelectricity, irrigation, residential and industrial water supply, recreation, flood protection, etc. However, a large amount of water is wasted through evaporation from the reservoirs’ surface area. In this study, a novel approach was developed based on the Fuzzy Analytic Hierarchy Process to allocate the blue water footprint of reservoirs (WFres) for different purposes including hydroelectricity, irrigation, water supply, recreation and flood protection. The effectiveness of the proposed approach was verified in Zayanderud multi-objective reservoir in Iran as a case study. The results showed that the environmental and social as well as the economic criteria with the local weight of 0.4 had the largest share of WFres. In addition, it was found that the highest allocation coefficient of WFres was for irrigation with the global weight of 0.412, followed by urban drinking water supply, recreation, hydroelectricity, and flood protection. Besides, the blue water footprint assessment of hydroelectricity generation showed that the previous studies had often overestimated the impact of hydroelectricity generation on water scarcity.

Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using fuzzy logic, AHP and integrated fuzzy-AHP approaches

Increasing urbanization and the population's demand for water shortages in urban and rural areas leads to a decline in groundwater resources, to the need to plan artificial groundwater recharge. This study shows the ability of three decision-making approaches, namely fuzzy logic (FL), analytical hierarchy process (AHP) and integrated Fuzzy-AHP techniques in groundwater potentiality mapping. A total eight parameters such as geology, geomorphology (GM) landuse/landcover (LULC), soil types, drainage density (DD), water level fluctuations (WLF) in the pre and post monsoon, vadose zone (VZ), and slope are assessed through satellite and conventional data sources. All these parameters and their sub-parameters are assigned weights to implement FL, AHP and integrated Fuzzy-AHP models based on existing knowledge. Three result maps have been prepared up that integrate all these parameters and their respective weights into the GIS software. Accuracy results show that the map made with the integrated Fuzzy-AHP model is more efficient (78% validation) than AHP (76% validation) and FL approaches (72% validation). This study concludes that the integrated AHP-Fuzzy model is more reliable for estimating the groundwater potential. However, the impact of the study on the impact of knowledge of the criteria has shown that the ability of the technique to accurately predict depends on the integrity of the classification of the criteria used. The study found that a simple GIS-based integrated approach is suitable for making accurate and reliable predictions, especially if the order of the criteria used for expectation is consistent. Such findings have shown that planners in regions with a lack of data have an accurate knowledge of groundwater sources through the integrated methodology based on an analysis of geospatial data. In this manner, advancement for the inescapable plan of groundwater research can be created in a compelling manner.

Seismic microzonation and building vulnerability assessment based on site characteristic and geotechnical parameters by use of Fuzzy-AHP model (a case study for Kermanshah city)

ABSTRACT On 12th November 2017, an earthquake with a magnitude of 7.3 Richter scale in the town of Sarpol-e Zahab took place that caused lots of human casualties and devastation. After the incident, issues related to the probability of an earthquake with equal intensity and extents of similar building destruction were raised in Kermanshah city. Therefore, a seismic microzonation map of Kermanshah city has been prepared based on the geotechnical, geological, and geophysical data, and the data were analysed using Fuzzy analytic hierarchy process (AHP). In the next step, the vulnerability analysis of city buildings was carried out based on the ground-shaking map, vulnerability curves, and statistical data regarding the buildings. The results of the vulnerability rate of residential buildings indicate that 80% of residential buildings would be exposed to vulnerability from low to moderate. However, other buildings would suffer 2% fully destruction (D1), 7% very high destruction (D2) and 11% high destruction (D3), respectively. Finally, according to the obtained results, the proposed model is verified with the help of the data and observations from the Sarpol-e Zahab earthquake, which reveals that the model is in good agreement with the actual earthquake data.

Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey

Sustainable development decisions generally require citizen participation in the decision process to avoid public resistance and objections in the long term. Because of the involvement of non-experts, the uncertainty of the decision is increased, and this must be considered in the decision-making process. This paper aims to introduce a sustainable urban transport development problem in which citizens are involved to allow them to express their preferences for improving certain elements of the public bus system. To mitigate the uncertainty of the non-expert evaluations, a fuzzy-analytic hierarchy process (AHP) model has been created and applied. Since the objective of the research is to provide a suitable framework for transport development tenders, only the criteria weights have to be determined; thus, an alternative level has not been applied. The model has been tested on the urban bus transport system of a large Turkish city: Mersin. Based on the application, citizen preference weights could be associated with certain elements of the supply quality; thus, government development source allocation decisions could be supported. The fuzzy-AHP model ensures that the final development implications will meet public demand for bus system improvement in the city.

Fuzzy AHP model for challenges to thermal power plant establishment in India

Thermal power plant is a huge project in context of resource utilisation, time required for its completion and also large amount of funds are required for its establishment. So, delay in any activity especially activity of critical path would results in delay of whole project. Due to delay, the stress on the resources would also increase, which may further result in substandard quality of work. A fuzzy AHP process model has been used to prioritise the challenges to thermal power plant establishment through the inputs by experts from managers at the actual construction sites, designers, and consultants. The challenges identified in the present study can be categorised in three categories viz. high impact, medium impact and least impact challenges. This paper presented the ranking of 19 challenges faced in the establishment of a new thermal power plant in India.

Fuzzy AHP model for challenges to thermal power plant establishment in India

Thermal power plant is a huge project in context of resource utilisation, time required for its completion and also large amount of funds are required for its establishment. So, delay in any activity especially activity of critical path would results in delay of whole project. Due to delay, the stress on the resources would also increase, which may further result in substandard quality of work. A fuzzy AHP process model has been used to prioritise the challenges to thermal power plant establishment through the inputs by experts from managers at the actual construction sites, designers, and consultants. The challenges identified in the present study can be categorised in three categories viz. high impact, medium impact and least impact challenges. This paper presented the ranking of 19 challenges faced in the establishment of a new thermal power plant in India.

Continuous Fuzzy Kano Model and Fuzzy AHP Model for Aesthetic Product Design: Case Study of an Electric Scooter

The fuzzy Kano model (FKM) adopts a linear scoring system that cannot accurately reflect the relationship between users’ needs and satisfaction and may underestimate the importance of users’ evaluation and needs. In this paper, we propose a preference-based evaluation-fuzzy-quantification method to determine the priority of the development of attractive factors of an electric scooter. In the evaluation analysis stage, the evaluation grid diagrams of all the interviewees are systemized. In the fuzzy computing stage, the continuous fuzzy Kano model (C-FKM) combined with the fuzzy analytic hierarchy process (FAHP) is developed to determine the priority of the development of attractive factors. By processing the ambiguity of users’ needs, the C-FKM can obtain a more accurate representation of users’ needs than the FKM. The opinions of 20 experts are integrated using the similarity aggregation method (SAM); then the FAHP is applied to calculate the weight of each evaluation criterion. Lastly, we use quantitative analysis to discover the important and specific characteristics that influence the attractiveness of an electric scooter. Research shows that Kansei images with attractive qualities are reliable and may be the first choice for satisfying the perceptual demands of consumers and can provide reference for the related research.

Affecting Factors of Knowledge-Based Companies Using Fuzzy AHP Model, Case Study Tehran University Enterprise Park

Knowledge-based economy is a new economy in which the production, distribution, and use of knowledge is the main source of growth and wealth creation, which the knowledge-based economy companies are the engine of this system. These companies are usually private organization or cooperative companies, which their synergy is science and wealth, knowledge-based economic development, scientific and economic goals, and commercialization of research results. This study was conducted to investigate factors affecting these companies’ development. To this end, the target groups, including corporate executives and experts from the Ministry of Health was surveyed. Also, the fuzzy AHP technique is used to rate the judgments. For this purpose, eight factors, including technological factors, social and market conditions, political, administrative, economic, legal, and environmental factors are investigated. Finally, the views of these two groups have been compared and the differences in both approaches are discussed regarding the development of knowledge-based companies.

Landslide Susceptibility Mapping Using Fuzzy-AHP

Landslides are as the movement of soil on slopes that they are one of the most common natural hazards in many mountainous areas. Landslides are recognized as an important natural hazard in many countries. So in the study, the geographic information system-based the fuzzy quantifier is used to determinate the landslide susceptibility modeling in the north of Khorramabad, west of Kermanshah Province, Iran. To determine the landslide susceptibility modeling generated aspect, some input data were prepared such as the digital elevation model, lithology, slope, land use, river, road, fault, and precipitation maps. Fuzzy map showed that almost all of the area was medium landslide susceptibility that had the value close to 1. Fuzzy-AHP model showed that 77.62% of the study area had medium landslide susceptibility and this method was a useful tool for forecasting of landslide susceptibility status in each case study.

A Comparative Analysis and Proposing ‘ANN Fuzzy AHP Model’ for Requirements Prioritization

A Comparative Analysis and Proposing ‘ANN Fuzzy AHP Model’ for Requirements Prioritization

An integrated fuzzy AHP and TOPSIS model for evaluating the performance of raw material suppliers: A case study in lasem batik writing centre

Batik is labelled as an identity of Indonesia as in 2009 UNESCO recognized batik as a cultural heritage of no object. The export value of batik in 2015 reached USD 156 million. This study aims to evaluate the performance of raw material suppliers using five criteria, i.e., price, quality, delivery, flexibility, and service. The combination of the fuzzy analytic hierarchy process (FAHP) and technique for others reference by similarity to ideal solution (TOPSIS) are used here to achieve the research objective. FAHP was used to determine the weight of each criterion; while TOPSIS was employed to identify the ranking of all alternatives to be considered. A case study was conducted at Lasem batik writing centre. FAHP results show that quality becomes the most important criterion with the weight of 0.266. The best suppliers of raw materials are LI, PA, and SL for fabrics, dyes, and wax respectively. Findings of this study may offer batik craftsmen in determining what are the best suppliers to be considered based on their performance.

Green Supplier Evaluation by Using the Integrated Fuzzy AHP Model and Fuzzy Copras

Since being environment-friendly has become more important for manufacturers, green supplier evaluation is one of the most crucial challenges for supply chain in the industry. This study aims to evaluate and choose the best green suppliers by integrating fuzzy AHP and fuzzy Copras for seven green suppliers. Fuzzy AHP is used to determine the importance of green supplier performance criteria. Because the criteria and options that are considered in this study are associated with uncertainty, the fuzzy theory is applied as one of the key tools for modeling uncertainties. In this study, a set of criteria for evaluating the green suppliers is identified. Afterwards, fuzzy Copras is employed to evaluate and choose the best green supplier. The contribution of this study lies in the integration of Copras and analytic hierarchy process techniques for green supplier evaluation. That is fuzzy Copras reveals a solution as an optimized respond when the uncertainty is a significant factor in decision-making process, this enhances the accuracy of AHP pairwise comparison. The findings of this study are beneficial for manufacturers, suppliers, and organizations which attempt to improve the supply chain network by eliminating waste.

COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING

Abstract. Landslide is one of the main geomorphic processes which effects on the development of prospect in mountainous areas and causes disastrous accidents. Landslide is an event which has different uncertain criteria such as altitude, slope, aspect, land use, vegetation density, precipitation, distance from the river and distance from the road network. This research aims to compare and evaluate different fuzzy-based models including Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), Fuzzy Gamma and Fuzzy-OR. The main contribution of this paper reveals to the comprehensive criteria causing landslide hazard considering their uncertainties and comparison of different fuzzy-based models. The quantify of evaluation process are calculated by Density Ratio (DR) and Quality Sum (QS). The proposed methodology implemented in Sari, one of the city of Iran which has faced multiple landslide accidents in recent years due to the particular environmental conditions. The achieved results of accuracy assessment based on the quantifier strated that Fuzzy-AHP model has higher accuracy compared to other two models in landslide hazard zonation. Accuracy of zoning obtained from Fuzzy-AHP model is respectively 0.92 and 0.45 based on method Precision (P) and QS indicators. Based on obtained landslide hazard maps, Fuzzy-AHP, Fuzzy Gamma and Fuzzy-OR respectively cover 13, 26 and 35 percent of the study area with a very high risk level. Based on these findings, fuzzy-AHP model has been selected as the most appropriate method of zoning landslide in the city of Sari and the Fuzzy-gamma method with a minor difference is in the second order.

Designing a Model for Knowledge Socialization Using Sociability Processes of Human Resource Management: A Case Study

This study develops a model for knowledge socialization using sociability processes of human resources through an applied research approach. Two types of participants participated in this study. The first type included academic and industrial experts; the second type included employees and managers of Ansar Bank. Ten experts were asked to identify criteria and weigh the identified criteria. Using simple random sampling, the sample size was estimated at 207. Field and archival studies were used to collect data. Validity and reliability of the distributed questionnaire were confirmed by organizational experts. Using theoretical literature and surveying experts, 18 criteria were identified of which 12 criteria (desirable and joyful workplace, management and leadership support in sociability process, training courses, transparency in working relations, team work, organizational trustful climate, job description and job knowledge, tangible incentives, participatory system, informal technique, defined career path, individual values aligned with organizational value) were selected by screening for prioritization and analysis. Fuzzy AHP and structural equation modelling based on partial least squares were used for prioritization and weighting. Fuzzy AHP model showed that desirable workplace (0.163), participatory systems and brainstorming (0.149), transparency in working relations (0.114), and informal techniques (0.111) gained the highest weights; finally, PLS model showed that all 12 identified criteria were effective on socialization of knowledge management.

The Establishment of AHP-fuzzy Model for Risk Evaluation of Quality Safety of Pork

The Establishment of AHP-fuzzy Model for Risk Evaluation of Quality Safety of Pork

Turismo y Sistemas Empresariales Resilientes: Factores Críticos de Adaptabilidad en Baños de Agua Santa – Ecuador

Resilience is understood as dynamic learning ability, self-organization and adaptability of a system, when affected by unforeseen Within this context, this research focuses on business dimension of resilience and establishes a methodology based on Fuzzy AHP to determine the incidence of five analysis criteria that related to: business vision, opportunity entrepreneurship, business environment, company behavior disaster response and female entrepreneurship, according to scientific literature and expert opinion, are immersed in the adaptability of the territories and regions affected by natural disasters. The empirical application in the turistic town of Banos de Agua Santa in Ecuador, is justified to be recognized by the United Nations as Resilient City to volcanic events. The results present an assessment of the resilience of business system in this town, while identifying how these factors contributed to its adaptability. Fuzzy AHP model considers expert judgment catastrophic events in Ecuador and Chile in the last sixteen years.

Shipping technology selection for dynamic capability based on improved Gaussian fuzzy AHP model

The purpose of this paper is to develop an improved version of the conventional fuzzy analytic hierarchy process (FAHP) methods, and investigate the shipping technology management problem for dynamic capability. There exist many FAHP applications in the recent literature, but most of these use triangular or trapezoidal fuzzy numbers rather than Gaussian fuzzy numbers and lack of consistency for the decision matrices. The proposed model, improved Gaussian FAHP (here after IG-FAHP) executes Gaussian fuzzy numbers to eliminate the case of zero weights. IG-FAHP also uses a standard consistency control mechanism for the whole model and enables direct numerical inputs. Finally, expert consistency prioritization is conducted for expertise differences instead of assuming experts identical or assigning some predefined weights. The research outcomes stemming from the IG-FAHP are that it produces more accurate and realistic results than the conventional FAHP methods, and the empirical study of shipping technology selection proves the applicability of the proposed method. It is found that energy efficient technologies are significant for long term corporate success.

Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of Iran

ABSTRACTThis study was done to evaluate the efficiency of three methods to predict the high-risk areas for fire in District Three of Neka Zalemroud forests located in Mazandaran Province, Iran. The fuzzy analytic hierarchy process (fuzzy AHP) and the spatial correlation method were used to model fire risk in the study area. The Dong model was used to provide the fire risk map. Following the construction of fire risk maps using three methods, the map of actual fires was overlaid to validate the used methods. Then the area of the high-risk and very high-risk classes of each fire risk map within the perimeters of actual fires was calculated. Results showed that the high-risk areas in the fire risk map prepared by the fuzzy AHP and spatial correlation methods closely follow the actual fires. On the other hand, the high-risk areas in the fire risk map prepared by the Dong model showed only a moderate agreement with actual fire areas. The final results showed that the fuzzy AHP model (accuracy 0.8) and the spatial correlation model (accuracy 0.92) have the strongest ability to predict the fire high-risk areas in Hyrcanian forests of Iran, relative to the Dong model (accuracy 0.51).

Competitive strategies of knowledge and innovation commercialization: a unified swot and fuzzy ahp approach

Universities have shown a strong desire to commercialize researches and innovations. As a result, they are increasingly weaning themselves from public budgets. Commercialization has become the gateway for privatization, but the improper selection of commercialization strategies often results in the elimination of resources and time. The correct evaluation and ranking of strategies for the best resources is essential for the competitive performance of a university. The hybrid SWOT and Fuzzy AHP model adopted in this study provides a clear categorization of these university strategies. The first and relevant criteria as well as sub-criteria are identified using SWOT analysis. Fuzzy AHP tool is then used to evaluate and rank the internal and external factors that affect competition in Iranian universities. Based on the IE matrix, the growth and the process of building strategies are important priorities when considering commercializing. The results of this study revealed that academic startups, joint technology, joint research laboratories, strategic alliances, recruiting pundit and contracting with industry are the best strategies for Iranian universities.

A fuzzy AHP model to assess sustainable performance of the construction industry from urban regeneration perspective

The construction industry needs to assess its performance in the long term, considering the intangible pa­rameters together with the tangible ones. Urban regeneration as well as infrastructural development have considerable impacts on the construction industry performance in developing countries. Therefore, in order to provide efficient and sustainable performance for the construction industry in the long term, it is crucial to determine the benchmarks and indicators from the perspective of those projects. In this context, major objective of this study is to represent a model showing the parameters affecting the sustainable performance of construction industry from urban regeneration perspec­tive. Fuzzy Analytic Hierarchy Process (FAHP) analysis was employed in order to determine measures and indicators associated with sustainable performance and a model was established reaching the objective of the study. According to the FAHP analysis results, among measures such as Company Performance, Extrinsic, Economic, Environmental, Social and Innovational Factors set in the research, intangible values such as innovation and social protection were also found to have prior effects as well as the inevitable tangible ones such as cost, profitability and macro economy to sustain the performance of the construction industry for urban regeneration projects in the long term.