Fuzzy Analytic Process Research Articles

Integrated modelling approach for an eco-industrial park site selection

Inconsistencies of the single multi-criteria decision making (SMCD) methods in criteria weight assessment make them unreliable and have led to the wrong siting of industrial parks, which are often abandoned as brownfields that emit GHG. Eco-industrial parks (EIPs) are replacing brownfields but require robust decision-making tools to weigh and rank suitable locations for industry clusters' synergies. Integrated multi-criteria decision making (IMCDM) to address the weaknesses and strengthen the advantages of SMCDM methods, and a model to overlay criteria weights and spatial data easily and accurately were developed. The spatial criteria data for 2009 and 2019 from Tanjung Langsat Industrial Area were collected and prepared by GIS to test the SMCDM and IMCMD consistency weighting and the model resilience. The SMCDM (AHP, ANP and F-AHP) and the IMCDM weights with the 2009 criteria data identified the entire water bodies around the brownfield as suitable sites, making them inconsistent. The 2019 data with the SMCDM weights identified tiny sites as best, also making them inconsistent. The integrated hierarchy network fuzzy analytic process (HN-FAP) and the hierarchy network analytic process (HNAP) with the 2019 criteria data identified part of the water bodies as suitable making it inconsistent. The hierarchy fuzzy analytic process (H-FAP) and the network fuzzy hierarchy analytic process (NFh-AP) identified larger suitable sites without overlaps making them consistent algorithms. The H-FAP and NFh-AP procedures eliminate the weaknesses and consolidate the strengths, giving optimally consistent criteria weights. The two algorithms' consistency and the model efficiency can use different criteria weights and spatial data inputs from elsewhere for 4IR-driven EIP modelling to help brownfield-EIP stakeholders. Future research would address the reverse ranking of MCDM methods when alternatives are added or removed.

Superior Talent Development Strategy in Preparing Future Leaders During Change

Talent management development is directly related to the organization's future-readiness. Competent, loyal, passionate, and highly motivated employees are important assets as future leaders, meaning the right strategy is needed for increasingly global business development readiness. Therefore, this study aimed to analyze the talent management policy strategies that promote organizational justice, where data were analyzed using the Fuzzy Analytical Process (FAHP) method. The results showed that a superior talent policy strategy is important and should be implemented according to the organization’s needs to prepare future leaders. The strategy is essential in preparing future leaders during change by involving BPJSTK management, the Ministry of Manpower, and talent. It is important to ensure the effective implementation of a superior talent development model in line with the needs of future leaders. Keywords: fuzzy analytical process, talent management, superior talent, development strategy, future leader

A Fuzzy Analytical Process to Assess the Risk of Disaster when Backfill Mining Under Aquifers and Buildings

A Fuzzy Analytical Process to Assess the Risk of Disaster when Backfill Mining Under Aquifers and Buildings

A FUZZY ANALYTIC HIERARCHY MODEL TO APPRAISE WATER ABSORPTION PROCESS PARAMETERS IN COCOA POD HUSK COMPOSITE

Water absorption characteristics of composites are crucial to robust composite design with integrity and long service lives. In the literature, scholars have evaluated the water absorption properties of cocoa pod husk composites but reports regarding their uncertainty and imprecision are missing. In this article, cocoa pod husk particulate reinforced composite material was analyzed for uncertainty and imprecision using the fuzzy analytic process to rank and select the important parameters of the water absorption process.

Development of fuzzy analytic hierarchy process based water quality model of Upper Ganga river basin, India

The ecological sustainability of rivers is in question due to severe pollution and lack of stringent regulations. Long term (1990–2016) water quality data of five stations namely Haridwar, Bareilly, Kanpur, Prayagraj and Varanasi of Upper Ganga river, India was considered for analysis using fuzzy analytical process (FAHP) based water quality index (WQI) to assess surface water quality. The value of water physical, biological and chemical parameters of temporal resolution (monthly, seasonal and yearly) indicate that value of electrical conductivity (EC), total dissolved solids (TDS), biological oxygen demand (BOD), chemical oxygen demand (COD), total alkalinity (Mg CaCO3), total hardness (Mg CaCO3), calcium (Ca), magnesium (Mg), sodium (Na), chlorine (Cl) and bicarbonate (HCO3) were observed very high compared to recommended value of Bureau of Indian Standards (BIS) and World Health Organization (WHO) at Kanpur, Prayagraj and Varanasi stations. However, low value of parameters is observed at Haridwar and Bareilly stations. Also, the high deviation was observed in water quality parameters during 1990–2010 whereas the deviation of parameters is decreased in 2011–2016. It is observed from the piper diagram that magnesium and bicarbonate at Haridwar, sodium, potassium and bicarbonate in Bareilly, Kanpur, Prayagraj and Varanasi stations are dominant during monthly and seasonal periods. The fuzzy based WQI value indicate that water quality is excellent to poor at Haridwar, while poor to unsuitable in Bareilly, Kanpur, Prayagraj and Varanasi during monthly and seasonal periods. The water quality ranges from poor to unsuitable during the 1990–2010 period and good to very poor during the 2011–2016 period at Bareilly, Kanpur, Prayagraj and Varanasi stations. Whereas very good to good during 1990–2010 and excellent to good during 2011–2016 at Haridwar. It was also determined that water quality parameters (Ca, Na+K, SO4, Hardness, Cl and Mg) and WQI values were increased with length of the stream. It indicates that drain discharge, urban growth, urban functions, ecological footprints and crop area increment were key sources of pollution.

Human health risk assessment of fluoride-rich groundwater using fuzzy-analytical process over the conventional technique

The aim of the present study was to establish the fluoride concentration in groundwater of Gharwar village, Dhanbad, India and associated health risk using fuzzy-analytical hierarchy process over the conventional technique. A total of 20 groundwater samples were analyzed and the observed fluoride concentration varied from 0.3 to 12.5 mg/L. Piper diagram demonstrated the strong positive correlation of high Sodium-bicarbonate type water with the elevated Fluoride content in groundwater. For better understanding of effect of Fluoride on human health, fuzzy hazard index (FHI) was assessed through fuzzy logic method over the traditional hazard index (HI) method and the results exhibited that HI value due to fluoride exposure varied from 0.31 to 12.82 and 0.33 to 13.88 for adults and children respectively, which was up to 13.88 times higher than the critical limit. While the FHI values varied from 0.42 to 11.9 and 0.43 to 12.2 for adults and children, respectively. Further results suggested that the fuzzy logic-based index method produces more concise, stringent and reliable results over the traditional HI method and therefore can be used as a comprehensive tool for human health risk assessment, mainly while assessing water for drinking purpose.

Decision Support System for Determining Land Priority for Housing Development Using Fuzzy Analytical Process (Fuzzy-AHP) Method

The National Housing Development Public Corporation (Perumnas) was established as a government solution in providing adequate housing for the middle to lower classes, to realize this, Perumnas set a target of building 100,000 houses / year. The aspect of development is to ensure that all communities occupy decent homes in a healthy environment, an increase in the number of residents in the city, especially the city of Medan, causes settlement problems because the area of land is a fixed factor, while the population is always growing, thus requiring a system that can help decision in determining the priority of land for housing development. In this study an analysis of patterns related to applicable criteria or rules is implemented by applying the Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) method, to produce accurate and effective information for making priority decisions on the location of the best residential development land. The analysis framework uses a data collection approach sourced from Public Relations, then an analysis is carried out to determine the criteria, rules and standards used, then a system is built by implementing the Fuzzy-AHP method to produce optimal alternatives that can be used as information. Alternative results will be evaluated by quantitative and qualitative analysis compared to the existing system. The developed system is expected to be used as a tool in decision making in the Regional Sumatra Regional Public Corporation I company that is optimal according to the criteria, rules or standards used. Data collection using the method of literature study, observation, interviews, and sampling. This research is expected to be one of the references in the application of decision support systems in a real scope and contribute to building a constructive community culture based on logical and scientific values.

Soil moisture Fuzzy Estimation Approach based on Decision-Making

This paper presents a Fuzzy Estimation Approach based on Decision Making (FEADM) to estimate point soil moisture, in order to develop a regional soil moisture estimate. This keeps the advantages of an automatic irrigation system but avoiding their operational complexity. In the FEADM 's first stage, the Fuzzy Analytical Process weigh five fuzzified environmental inputs used as assessment criteria. These criteria are used by a selective assessment stage, where only the relevant criteria for each alternative are assessed. As result, the best assessments of each alternative and the best assessed alternative are obtained. In the second stage, an output membership function is assigned to every alternative for its forward aggregation and defuzzification. This process reaches a soil moisture estimate. Unlike other models, FEADM allows estimating a quantitative value from a decision making process. Furthermore, its computational cost is lower than conventional fuzzy estimation models due to the selective assessment.

Using interpretive structural modeling and fuzzy analytical process to identify and prioritize the interactive barriers of e-commerce implementation

The main purpose of this study is to present a novel and useful application of a specific analytical technique to indicate the interactions and calculate the ranking of the barriers of electronic commerce (EC) in the Iran Khodro industrial group, a leading Iranian automotive company, using the combination of two techniques: interpretive structural modeling (ISM) and the fuzzy analytical network process (FANP). Based on an in-depth review of the relevant literature and interviews with managers and experts from the company, thirteen barriers and challenges to the implementation of e-commerce were determined and categorized into four main factors: technical, organizational, individual, and environmental. In the following step, the ISM technique is applied to construct a structural graph and identify inherent interactions among these barriers. The FANP is then used to quantify the relationships and weigh the significance of these barriers. The results obtained from the proposed model reveal that a “lack of awareness regarding the benefits and nature of electronic commerce” is the most important barrier to the implementation of e-commerce. This type of modeling approach can be extremely valuable for companies that wish to focus their efforts and resources on removing the most important barriers and challenges toward the successful implementation of EC.

Multi-objective traffic signal control model for traffic management

Traffic signals are one of the main traffic management tools used to control traffic flow on the roads and should reflect traffic managers' intentions in different tasks. This paper showed a multi-objective optimization model, and its algorithm was aimed at the intricate structure of traffic control. First, the indexes of queuing lengths, delay times, and stop times were chosen as the evaluation indexes of optimization model. Second, the weight of the optimization indexes was confirmed with a fuzzy analytic process (FAP) according to the traffic managers' strategy. Finally, the multi-objective optimization model was solved with the Q-learning algorithm, and thus the signal control scheme of the intersection was produced in real-time while considering the traffic management strategy. The results of the simulation showed that the method could effectively improve traffic efficiency at the intersection, and at the same time, the intentions of the traffic managers could be fully embodied.

Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process

Article history: Received December 28, 2013 Accepted 24 March 2014 Available online March 31 2014 This paper presents an empirical investigation to rank different factors influencing on maintenance strategies on Iranian oil terminals’ company. The study determines four main factors, production quality, reliability, cost and safety. Using fuzzy analytical process, the study determines various factors associated with each main factor and ranks them by performing pairwise comparisons. The results indicate that reliability ranks first (0.255), followed by production quality (0.252), cost (0.25) and safety (0.244). In terms of reliability, the best utilization of resources is number one priority followed by increase access to maintenance tools, reduction in production interruption are among the most important issues. In terms of production quality, reduction in system failure as well as reworks is the most important factors followed by customer satisfaction and defects. In terms of cost items, ease of access to accessories and consulting are important factors followed by necessary software, hardware and training programs. Finally, in terms of safety factors, external, internal and employee services are the most important issues, which are needed to be considered. © 2014 Growing Science Ltd. All rights reserved.