Fuzzy Analytic Hierarchy Method Research Articles

Optimal Wind Farm Siting Using a Fuzzy Analytic Hierarchy Process: Evaluating the Island of Andros, Greece

In recent decades, fuzzy logic and fuzzy multi-criteria decision-making systems have been applied in several fields. This paper aims to determine the optimal wind farm siting solution in a fuzzy environment. Therefore, the main research question of the present paper is whether and to what extent the uncertainty in the researcher’s judgments affects the ranking of wind farm siting solutions. The fuzzy analytical hierarchy method is applied to an existing case study of wind farm siting on the island of Andros, examining the stability of the final priorities of the alternatives under a regime of gradual increases in ambiguity, as well as whether the introduced ambiguity in the model corresponds to any uncertainty the researcher has during the process of scoring the criteria and alternatives. Five assessment criteria (wind potential, ground slope, distance from road network, distance from high-voltage network, and social acceptance of local population) and eight eligible suitable alternatives (A1–A8) for wind farm siting are considered in the computations. The methodology includes the fuzzification of initial decision-maker judgments, the calculation of fuzzy intermediate priorities (weights), the defuzzification of fuzzy intermediate priorities (weights), and the synthesis of intermediate priorities into final priorities of alternatives, according to the procedures of the crisp AHP (CAHP). Under the assumptions of the initial case study, the results show that the final priorities are quite robust when faced with increased ambiguity. In almost all the examined cases, the alternative initially chosen as the best, A1, is dominant, followed by A3. In addition, in all cases, social acceptance favors alternative A1, and wind velocity favors alternative A8. Therefore, fuzzy multi-criteria methods can be applied to determine an optimal wind farm siting solution when criteria with qualitative characteristics are used and the manifestation of preferences involves strong elements of subjectivity.

Evaluation of green pastoral residence in Grassland of Inner Mongolia based on fuzzy mathematics

Based on the theory of rural habitat, the concept of green pastoral residence is proposed, and the green pastoral residence is taken as the research object. Besides, based on the current situation of grassland ecological environment and pastoral living environment in Inner Mongolia, the green pastoral residence evaluation index system is established by using the hierarchical analysis method, and a fuzzy comprehensive evaluation model is constructed combined with fuzzy mathematical theory. Through case analysis, the evaluation results of the two modeling methods of analytic hierarchy method and fuzzy analytic hierarchy method are compared, and the applicability of the two modeling methods is analyzed, and a multi-level decision-making method more suitable for the evaluation of green pastoral residence is obtained.

Success Factors of Youth Entrepreneurship Projects based on Fuzzy Analytic Hierarchy Method on the Example of Kazakhstan

Success Factors of Youth Entrepreneurship Projects based on Fuzzy Analytic Hierarchy Method on the Example of Kazakhstan

Integrated Framework for Inclusive Town Planning Using Fuzzy Analytic Hierarchy Method for a Semi Urban Town

Planning is a continuous process and must incorporate a regular evaluation of implementation and further revision for effective and efficient utility for the betterment of society through modification of the planning standards. Development plans for cities / towns are criticized for being rigid and static, having little regard for investment planning efforts, and taking a very long time in the process of formulation and approval. In depth analysis and review of the existing situation, covering the demographic, economic, financial, infrastructure, physical, environmental, and institutional aspects, is important so as to identify the strengths and weaknesses in the city overall development. In the present study, an attempt has been made to thoroughly review the existing planning standards adopted for the preparation and implementation of development plans in India, especially in Maharashtra. Since the development plan's objectives are not measurable, this study will use the Fuzzy Analytic Hierarchy Process (AHP) to assess their level of performance. For the purpose of identifying the various viewpoints of various stakeholders, field surveys and questionnaire surveys were conducted. This application can be used as an objective evaluation tool for planners and policy makers to improve planning practices and provide necessary knowledge for revising plans. The results indicated the importance of criteria from the pre-planning, preparation, and implementation stages of DP. These results were used for two semi-urban towns in Maharashtra regions and could also be used by planning engineers for further development of planning standards. Doi: 10.28991/CEJ-2022-08-12-07 Full Text: PDF

Promote the international development of Energy Internet technology standards based on key competition mode

• Propose a promotion strategy for internationalization of Energy Internet standards. • Adopt "key competition mode" to improve internationalization efficiency. • Establish an evaluation model of standard internationalization effect. • The strategy would enhance the international competitiveness of Chinese standards. The construction of the Energy Internet will significantly promote the construction of smart cities. Under the combined conditions of global economic integration and regional economic cooperation, standard and standards-related activities, as the "universal language" of world exchange and the "pass" of international trade, play an essential role in developing and constructing Energy Internet. This paper first analyzes the development of various technical fields and proposes a strategy for promoting the international development of Energy Internet technology standards based on the "key competition mode." Then an evaluation index system for the international development effect of Energy Internet standards is constructed. The internationalization implementation effect of technical standards is analyzed by the fuzzy analytic hierarchy method. The internationalization promotion work is guided according to the quantitative evaluation results. Finally, an example analysis of a standard proposal is carried out, and the results show that the evaluation method of the internationalization effect proposed in this paper has good applicability.

Construction and validation of a preterm birth risk assessment model using fuzzy analytic hierarchy process.

Preterm births account for almost 1 million deaths globally. The objective of this study is to develop and evaluate a model that assists clinicians in assessing the risk of preterm birth, using fuzzy multicriteria analysis. The model allows experts to incorporate their intuition and judgment into the decision-making process and takes into consideration six (6) risk dimensions reflecting the socio-economic, behavioral and medical profile of pregnant women, thus adopting a holistic approach to risk assessment. Each risk dimension is further analyzed and measured in terms of risk factors associated with it. Data were collected from a selected group of 35 experts, each one with more than 20 years of obstetric experience. The model criteria were selected after a thorough literature analysis, so as to ensure a holistic approach to risk assessment. The criteria were reviewed by the experts and the model structure was finalized. The fuzzy analytic hierarchy method was applied to calculate the relative importance of each criterion and subsequent use of the model in assessing and ranking pregnant women by their preterm risk. The proposed model utilizes fuzzy logic and multicriteria analysis. It addresses the multifactorial nature of decision making when assessing the preterm birth risk. It also incorporates the obstetricians’ intuitive judgment during risk assessment, and it can be used to classify cases based on their risk level. In addition, it can be applied to evaluate the risk of individual cases in a personalized manner. The proposed model is compared and validated for its predictive value against judgments made by experts.

Research on the method of multi-station integrated data center module location based on fuzzy analytic hierarchy process

Internet data center module(IDC) is an important part of the multi-station integrated substation, and its site selection will be an important basis for the site selection and construction of the multi-station integrated substation. In order to be useful to the practical engineering, the fuzzy analytic hierarchy method is proposed to analyze the location of IDC. There are six factors influenced in total which land price, policy environment, the annual average temperature, industrial electricity, network environment and peer development. FAHP has been adopted for calculating and sequencing priority membership value for every single factor thoroughly. According to the factor, different priority location has been chosen. Finally, based on the fuzzy analytic hierarchy process, the paper proves the effectiveness and convenience of the site selection method, through analysis of the three regions.

Identification and Ranking of Noise Control Solutions by Using Fuzzy Delphi approach, Fuzzy Analytic Hierarchy Analysis (FAHP) and Fuzzy Vikor in an Oil Refinery

Background: The aimed of this study was to identify and ranking noise control solutions by using fuzzy Delphi approach and FAHP-fuzzy vikor method in an oil refinery.
 Methods: This descriptive-analytical study was conducted in the catalytic conversion unit in an oil refinery. First, noise measurement was performed based on the standard to identify the sources of noise generating factors. Second, the criteria and initial solutions were identified by reviewing the texts and conducting interviews with experts and the most significant criteria and solutions for noise control were selected using the fuzzy Delphi method. Then, the criteria were weighed using the fuzzy analytic hierarchy method. Finally, the control solutions were prioritized using fuzzy Vikor method.
 Results: The results of FAHP method indicated that cost with final weight (0.2796) had the highest weight and non-interference in the process with final weight (0.1107) had the lowest weight among the identified criteria. The ranking of noise control solutions with fuzzy Vickor method indicated that the construction of an acoustic room for workers exposed to weights (Q = 0) as the most appropriate solution for noise control and the method of modifying or changing the work process with the final weight (Q = 1) is the last noise control solution among the solutions identified in the studied refinery.
 Conclusion: The use of multi-criteria decision-making methods in selecting the appropriate solution for noise control can overcome the uncertainties in making an appropriate decision for selecting the best solution for noise control. In this study, a decision model was introduced for selecting the most appropriate noise control solution based on different criteria and this model can be used in other industries which should select a noise control solution.

Evaluating the logistics performance of OECD countries by using fuzzy AHP and ARAS-G

Logistics has become an important field as the volume of world commerce expands. The World Bank (WB) has been publishing the Logistics Performance Index (LPI) for most of the countries since 2007. LPI is accepted as an important indicator of logistical performance. In this study, a model is proposed to evaluate the LPI of the OECD countries within a specific time frame. With the proposed model, the logistical performance of OECD countries between the years 2010–2018 is analyzed and compared with the existing LPI rankings. The index is calculated using six indicators. Different from the WB survey, the fuzzy analytical hierarchy method is used to determine the weighting scores of these six indicators. The grey numbers give the researcher an opportunity to obtain the numerical expressions of a time period by showing minimum and maximum values. Thus, grey additive ratio assessment (ARAS-G) method is used to evaluate the logistics performances of OECD countries by years. The data created in this study refers to the logistics performances of the OECD countries between the years 2010 and 2018. Thus, OECD countries are ranked according to the logistics performances calculated by the ARAS-G method. The rankings calculated by ARAS-G are compared to the yearly rankings calculated by the WB. Spearman ρ and Kendall’s Tau correlation methods are used to investigate the relationships within the yearly rankings and the rankings calculated for the period between 2010 and 2018 by using ARAS-G. The results show that the rankings calculated by ARAS-G have the strongest relationship with years. Indeed, this study provides a different field of study for the ARAS-G method application.

A Pick-Up Points Recommendation System for Ridesourcing Service

In the ridesourcing industry, drivers are often unable to quickly and accurately locate the waiting position of riders, but patrol or wait on the road, which will seriously affect the management of the road traffic order. It may be a good idea to provide an online virtual site for the taxi to facilitate convergence of the rider and driver. The concept of recommended pick-up point is presented in this paper. At present, ridesourcing service platforms on the market have similar functions, but they do not take into account whether the setting of the pick-up point is compatible with the actual traffic environment, resulting in some problems. We have invented a method to select the recommended pick-up point by integrating various traffic influencing factors, so as to ensure that the setting of the pick-up point is compatible with the actual traffic situation, which consists of three steps. Firstly, we studied the rider’s maximum tolerable waiting time and defined an attractive walking range for riders based on the huge amount of data. In the second step, we analyzed spatial distribution characteristics of the taxi demand hotspot and determined candidate pick-up locations. Lastly, the fuzzy analytic hierarchy method was used to select the recommended pick-up point that is most conducive to traffic management from multiple candidate points. A case study was conducted to validate the proposed approach and experimental evidence showed that recommended results based on the approach are in line with the actual situation of the road, and conducive to road traffic management. This recommendation method is based on real ridesourcing orders data.

Application of Fuzzy analytical hierarchy method and BIM in quota design of EPC project

For an EPC project, the design of quotas is critical. BIM technology visibility, simulation, optimization and coordination, etc, as a transformative production tool have a profound effect on construction project cost accounting process. BIM can effectively improve the reliability of construction production process cost calculation. Fuzzy analytical hierarchy method is a quantitative weight calculation method, which can effectively reduce the subjective deviation. Besides, this method can quantify the thinking and experience of experts, and have high computational accuracy. In this paper, Fuzzy analytical hierarchy method and the BIM was combined. The various professional design target was determined by FAHP method. Based on BIM, the professional design scheme of each stage was analyzed to meet the design quota target.

Determination of a suitable extraction equipment in mechanized longwall mining in steeply inclined coal seams using fuzzy analytical hierarchy method (Case study: Hamkar coal mine, Iran)

The longwall mining method is one of the most applied methods in extracting low-inclined to high-inclined coal seams. Selection of the most suitable extraction equipment is very important in the economical, safety, and productivity aspects of mining operations. There are a lot of parameters affecting the selection of an extraction equipment in mechanized longwall mining in steeply inclined coal seams. The important criteria involved are the geometric properties of coal seam (dip, thickness, and uniformity of coal seam), geological and hydraulic conditions (faults, fractures, joints, and underground water), and geomechanical properties of coal seam and surrounding rocks. Extraction of inclined coal seams with gradients greater than 40 degree is different from low-inclined seams, and requires a special equipment. Therefore, the influence of the above-mentioned parameters must be considered simultaneously in the selection of extraction equipment for steeply inclined seams. This paper presents an application of the Fuzzy Analytical Hierarchy Process (FAHP) method in order to select a suitable extraction equipment in the Hamkar coal mine. In the proposed FAHP model, fifteen main criteria are considered, as follow: dip of coal seam, thickness of coal seam, seam uniformity, expansion of coal seam, faults, fractures and joints, underground waters, hangingwall strength, footwall strength, coal strength, in-situ stress, equipment salvage, dilution, system flexibility, and operational costs. Among the 6 considered longwall extraction equipment system alternatives, the findings show that the most suitable extraction equipment system is shearer on footwall and a support system using hydraulic props and the transport of coal with the force of gravity.

Determination of suitable method for solution mining brine recycling using fuzzy analytical hierarchy method

Determination of suitable method for solution mining brine recycling using fuzzy analytical hierarchy method

Environmental impact evaluation for high-speed railway

Environmental impact evaluation system boundary of high-speed railway was defined based on the total life cycle theory, and the index system to evaluate the environmental impact of high-speed railway was established with the fuzzy analytic hierarchy method, and the matter-element evaluation model was established on the basis of the extension theory. By calculating its comprehensive interrelatedness, the evaluation rank of environment impacts of high-speed railway was determined. The numerical example shows that the model has vast prospect, which can not only expand the application areas of extension theory, but also change the traditional evaluation methods and provide new ideas and means for environmental impact evaluation of high-speed railway.

中学校长遴选之重要因素——台湾新竹地区天主教学校为例

与一般学校相比，天主教办学更具有天赋使命及不可推委的责任，使天主教学校的校长与师长肩负“神圣的使命”的教育，让教学不仅止于是一份职业，更是参与天主“创造万物、圣化世界”的伟大工程。教会与修会二十年来缺乏年轻一辈的青年投入神职与修道行列，许多学校面临校长职务后继无人的状况，必须转让经营或聘请非教会内人士担任校长及其他行政职务，维持学校的运作。本研究运用模糊层级分析法(FAHP)探讨天主教学校校长遴选对校务影响因素之评估，经研究发现：在评估第一层主构面方面，“天主教办学理念”被认为是天主教学校校长最重要之评估因素，其次为“专业发展方面”；在第二层次构面方面，最为专家学者重视的是教育政策与教育新知，其次为温馨校园的经营；在整合各项评估准则的权重排序显示，以天主教生命教育及教育政策与教育新知最为专家学者重视。 The catholic schools have much more regulated disciplines in education compared with general schools in Taiwan. Teaching is not just a job, but accompanies with the mission of “created all things, sanctify the world” in schools. Recently, few youth participation clergy and monasticism participated. Most catholic schools had the phenomenon of insufficient principals who are catholic. There are many non-Catholics to be employed as presidents or other administrative duties in catholic schools to manage non-profit organizations. This research uses the Fuzzy Analytic Hierarchy method to prioritize the factor of school principal selection. The results show that first layer of the dimension, the philosophy of education, is the most important factor of principal training; and that the second factor is the professional knowledge of principal. Meanwhile, in the second layer of the dimension, the most important key factor is the educational policy and educational knowledge; the second factor is the family-school management. All academics expertise assessment criteria believed that life education, educational policy and educational knowledge are critical factors to principal selection.

The empirical relationship between product variety, in-house capability and outsourcing capability: the case of a watch manufacturing firm in India

Product diversification may be achieved by developing and extending one's capabilities to build the foundation of new but related product families. This helps manufacturing firms to offer a large variety of products to suit individual customer requirements. Hence, a critical element of product diversification is managing the level of product variety and the extent of product development capabilities, particularly the 'in-house functional capability' and the 'outsourcing capability'. The research in this paper is directed at establishing empirical relationships between product variety and the in-house as well as outsourcing capabilities in manufacturing firms. A comprehensive methodology, which involves the use of the multi-attribute utility function approach, fuzzy analytical hierarchy method and multiple regression analysis, is developed in order to model the relationships between product variety and product development capability. The methodology developed is applied in a manufacturing firm to validate the model and the results are discussed.