Criteria Evaluation Method Research Articles

Towards a better psychological satisfaction: developing a mixed multi-criteria evaluation system to urban ‘Not in my back yard’ facilities siting

‘Not in My Back Yard (NIMBY)’ facilities are psychologically sensitive to urban and regional development. Multi-criteria evaluation (MCE) method has been widely used for the decision-making of optimum siting of urban NIMBY facilities which aim to improve residents’ psychological satisfaction. However, the evaluation of qualitative criteria in siting analysis remains under researched, such as the insufficient focus on urban and regional spatial development, social public opinion, and psychological factors. Thus, the effective improvement of MCE method through an interdisciplinary view can optimise the decision process and advance the factor assessment system of siting, which helps to supplement qualitative criteria evaluation. The specific improvement steps are as follows. The first step is to introduce the mixed MCE method to improve the qualitative criteria evaluation method by pre-processing qualitative criteria with min–max standardisation and normalization. This process transfers all negative factors to positive ones and transforms the F function to linear functions. The second step is to optimise the existing two-phase siting decision-making including the feasibility evaluation phase and the MCE phase. The third step is to propose a modular criteria system composed of urban and regional spatial planning, social psychological factors and the corresponding improvement strategy of this system from three perspectives of composition, measure, and weight. We argue that the improved method could be broadly applied to optimum siting decision of urban NIMBY facilities and enhance the psychological satisfaction of residents.

Pythagorean fuzzy likelihood function based on beta distributions and its based dominance ordering model in an uncertain multiple criteria decision support framework

The concept of Pythagorean fuzzy (PF) sets represents a superior tool to model complex uncertainties in an ambiguous and equivocal decision-making framework. In consideration of the significant capacity for exhibiting the uncertainty of subjective appraisals and estimations under the aegis of the PF theory, this paper presents a simple-to-operate decision-making approach that is grounded in some beneficial concepts of original likelihood functions and measurements of dominating and dominated characters. On the strength of beta distributions, this paper seeks to propound new notions of PF likelihood functions and likelihood-oriented dominating/dominated characters and to launch an exploitable multiple criteria evaluation method by means of a dominance ordering model for treating decision analysis within PF environments. This paper initiates an efficient beta distribution-based approach to the construction of novel PF likelihood functions that can quantify the possibility degrees of outranking and outranked relationships between Pythagorean membership grades. The applicable satisfaction and dissatisfaction estimations are established on the likelihood-oriented dominating and dominated characters, respectively. Furthermore, this paper formulates a straightforward dominance ordering model to obtain the ultimate dominance ranking orders of candidate alternatives and accomplish multiple criteria decision-making issues involving complicated uncertainty. A financing decision-making problem concerning working capital requirements is investigated to validate the application results using the advanced methodology. The real-world application is implemented to examine the reasonableness and efficacy of the established techniques. Moreover, comparative studies through the utility of a sensitivity analysis are performed to demonstrate the efficacy and merits of the dominance ordering model. The comparison results manifest that the initiated methodology is an advantageous and reliable decision-making technique that can enhance the methodological development regarding the multiple criteria evaluation model under PF uncertainty. Finally, recommendations for future research directions are also presented in the conclusions.

Evaluate of digital book criteria using fuzzy analytical hierarchy process

Recently, digital technology is developing rapidly. Digital technology also needs to be developed in the field of education, especially Digital Book. In evaluating digital books, stakeholders need appropriate criteria. Therefore, this study aims to evaluate the criteria of an excellent digital book by using a fuzzy analytical hierarchy process. A digital book evaluated is elementary school mathematics learning books by considering aspects of Azaz Pancasila. The criteria evaluation method uses a fuzzy analytical hierarchy process. Evaluation criteria used are easy to use, multimedia, interaction. The evaluation results of digital book criteria show that easy criteria have the highest importance. Furthermore, multimedia and interaction criteria have the importance of the second and third importance. This research implies that the selection of the right criteria can be a reference in the development of digital books.

A method to select sites for sand and dust storm source mitigation: case study in the Sistan region of southeast Iran

Sand and dust storms (SDS) are a natural phenomenon dominantly originating in arid and semi-arid regions. The vastness and changing distribution of the SDS hotspots, their inaccessibility, and financial limitations are the greatest challenges to projects combating SDS. To boost project success, a prioritized site-selection method which incorporates the physical and human variables interacting with SDS is applied in this paper. This ensures that potential economic and health impacts of SDS on human populations are also included. Six variables were selected for analysis: within-region sand and dust hotspots, changing distribution of the hotspots, residential areas, vegetation cover, soil texture, and the maximum drought-inundation of the Hamoun wetland. SDS hotspot sites for possible stabilization were identified and prioritized using the multi criteria evaluation (MCE) method. Such prioritization assists the practical management of hotspots under conditions of resource and budgetary constraints which are especially common in developing countries. This paper thus provides a template for site selection and prioritization of SDS hotspots for remediation. It also highlights the importance of variables other than SDS source areas for selection of rehabilitation sites. The proposed method, using the Sistan region as an example, is applicable to other regions of the world as a means of reducing the negative effects of known dust storm hotspots.

Analitik Hiyerarşi Prosesi (AHP) ve Coğrafi Bilgi Sistemleri (CBS) kullanılarak Osmaniye'deki Rüzgar Enerjisi Santrallerinin (RES) Yatırımına Uygun Alanların Belirlenmesi

Renewable energy sources are considered as clean energy sources. They have a much lower environmental impact than other energy sources. Among the renewable energy sources, the wind is an important energy source. In many countries the wind power production is so popular and many alternative research techniques related to wind energy are applied. Wind energy comes to the forefront today due to the increasing population of countries and the increase in energy needs. In our country the studies about the renewable energy has evolved rapidly over the past decade. The cost of initial installation of Wind Energy Plants (WEP) is high and they can only be installed if certain conditions are met. Site selection for wind turbine installation is not a technical process only, also a complex process is necessary for involving social, economic, physical and environmental sanctions. Therefore, site selection of wind energy plants is a very complex spatial decision problem for decision makers. For the different site selection studies multi criteria evaluation methods are often used. In the study, potential WEP investment areas of Osmaniye province were determined by using, Geographical Information Systems (GIS), Analytic Hierarchy Process (AHP) method and remote sensing. The criteria selected according to the general characteristics of the study area were combined with ArcGIS software using the weight values obtained with AHP and suitable areas for the WEP installation were determined. The land suitability index maps for the WEP siting is created in the ArcGIS program. The weighted Sum analysis of the Spatial Analyst Tool is used for this purpose. According to the results, 14.30% of the study area are suitable, 15.84% are moderate suitable and 69.86% are not suitable for wind energy plant siting

Polymer matrix materials selection for short sugar palm composites using integrated multi criteria evaluation method

This work introduces a novel model for prioritizing and evaluating polymer matrix materials using integrated multi-criteria evaluation method. The selection process determines the most suitable polymer for incorporating into short sugar palm fiber composites. The prioritization procedure is accomplished using three different selection methods: AHP, TOPSIS, and ELECTRE. AHP is used for prioritizing alternatives. TOPSIS and ELECTRE attain the ranking analysis of alternatives on different scales. A novel tripartite analysis is developed as a new integrative approach for ranking the three selection methods. The analysis supports relevant comparisons and determines the correlations between prioritized alternatives and main criteria.

A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions

In order to rationalize a surface water quality monitoring network (WQMN), it is critical to appropriately design surface water quality sampling locations. This is due to high installation, operational, and maintenance costs for each sampling representative of the whole water system conditions. The main objective of this study was to propose an integrated method to determine the most appropriate sampling points in the Khoy watershed northwest of Iran, where financial resources and water quality data are limited. Multi criteria evaluation method including analytic network process (ANP) and Fuzzy logic were incorporated in River Mixing Length (RML) procedure in order to identify exact locations of sampling points. Based on RML procedure, 15 candidate sampling points were identified to suitably select sampling points based on budget deficiency. Relative weights for 12 criteria and 10 sub-criteria related to non-point sources and surficial rocks as well as criteria of topography were then calculated by the ANP method. According to the obtained results, a new total potential pollution score (TPPS) was presented to prioritize 15 candidate sampling points. Then, the values of TPPS were classified and fuzzified to distinguish real differences between scores. Based on current monitoring stations and budget deficiency, the hierarchy value, and Fuzzy rank, six points are proposed as the most appropriate locations for surface water quality monitoring. Furthermore, four points are identified as the second most appropriate for enhancing a robust WQMN in the study area in order for an expansion plan in the future. The results of this study should be valuable for water quality monitoring agencies looking for an efficient approach for selecting exact sampling locations.

Vulnerability assessment to frost disaster in dieng volcanic highland using spatial multi-criteria evaluation

Dieng Volcanic Highland is one of frost disaster prone area which is very unique phenomenon in tropical region. Frost indicated by appearance of frozen dew or ice layer on the ground or vegetation surface due air inversion and cold temperatures during midnight in dry season. Appearance of frost significantly causes plant damage and losses on agricultural land, while the impacts were strongly influenced by level of vulnerability within agricultural communities. This study aims to analyze the impact of frost on agricultural land in Dieng, to identify characteristics of physical, social, economic vulnerability and coping capacity of agricultural communities to frost disaster in Dieng, and to estimate total vulnerability of frost disasters in Dieng through SMCE scenario. Research was conducted in Dieng Village, Wonosobo and Dieng Kulon Village, Banjarnegara. Method to assess vulnerability level is performed by Spatial Multi Criteria Evaluation (SMCE) method using ILWIS software through a combination of physical, social, and economic vulnerability regarding frost hazard, as well as coping capacity of farmers. Data collected by interview within different agricultural plots using questionnaire and in-depth interview method on frost affected agricultural land. Impact of frost mostly causes damage on potato agricultural land than any other types of commodities, such as carrot, leek or cabbage. Losses varies in range of 0 million to 55 million rupiah, at most events in range of 10 million to 15 million rupiah during frost season on July-August-September. Main factors determining vulnerability comes from crop losses, preparedness effort, and type of commodity. Agricultural land dominated by high level physical vulnerability (95.37 percent), high level social vulnerability (70.79 percent), moderate level economic vulnerability (79.23 percent) and moderate level coping capacity (73.18 percent). All five scenarios indicated that level of total vulnerability vary only from moderate level up to high level.

Decision-Aiding Evaluation of Public Infrastructure for Electric Vehicles in Cities and Resorts of Lithuania

In the National Communication Development of 2014–2022 Program and Guidelines of the Development of the Public Electric Vehicle Charging Infrastructure confirmed by the Government of the Republic of Lithuania, it is planned that, until the year of 2025, among newly registered vehicles, electric ones should make at least 10%. Analysis of the trend of electric vehicles makes evident that the target does not have a real chance to be achieved without targeted efforts. In order to improve the infrastructure of electric vehicles in major cities and resorts of Lithuania, we have carried out a comparative analysis of public infrastructure for electric vehicles in 18 Lithuanian cities and resorts. For the quantitative analysis, we proposed eight criteria describing such an infrastructure. As perception of the infrastructure by owners of electric cars depends on complex factors, we used multiple criteria evaluation methods (MCDM) for evaluation of the current state of its development by four such methods: EDAS, SAW, TOPSIS, and PROMETHEE II. Based on the evaluation results, prominent and lagging factors were understood, and proposals for effective development of public infrastructure of electric vehicles were proposed for improvement of the infrastructure.

New approach to decision making by multiple criteria analysis

Many decision processes in technical and economical sciences require multiple criteria decision making. The most widely applied methods for multiple criteria evaluation of alternatives are based on the evaluation of alternatives in terms of an additive preference function. All of them require the estimation of weights of usually conflicting criteria. There are several methods how to find the weights of the criteria and how to find the evaluation of each solution in each criterion. The decision process based on simple weighted sum of values may not be the best approach in all situations. This paper contains a new approach of the evaluation of measured value set by different mathematical operators than the usually used multiple criteria evaluation methods. The approach was applied in a case study for multiple criteria evaluation. Generally, this new decision-support tool can help in various situations where different types of effects caused by a construction or reconstruction can occur. This is a very frequent situation in dealing with building defects, too.

Investment Portfolio Formation Using Multi-criteria evaluation Method MULTIMOORA

Information that has to be analyzed by investors is complicated and can be interpreted differently by different people, which is why choosing what should be added to the investment portfolio is complicated task. Complexity grows substantially when there are more alternatives to choose from. Multi – criteria evaluation method can be used to choose the best alternatives. Multi–criteria evaluation method MULTIMOORA is not subjective because there is no need to decide ratio of any given variable that is evaluated. MULTIMOORA consists of: formation of ratio system, application of multi – criteria evaluation method as well as investment evaluation and ranking. Purpose of this article is to apply multi – criteria evaluation method MULTIMOORA for the formation and management of investment portfolio from stocks of the Baltic stock market companies. Methods used in the analysis for the article: analysis of scientific literature, statistical analysis, organization and comparison of data, idealization, calculations of MULTIMOORA.

Impact of Consumer Preferences on Food Chain Choice: An empirical study of consumers in Bratislava

The objective of this paper is to highlight the use of multiple criteria evaluation methods as a tool for the rating and selection of retail chains from the customers and suppliers perspective. We provide an assessment on the attractiveness of active retail chains on the Slovak market through multiple criteria methods used for the analysis of customer preferences. An analysis was conducted on a sample of consumers in Bratislava involving 11 389 respondents interviewed. The multi-attribute decision-making methods PROMETHEE II and V were used to assess the variants. In the first part of analysis the collected data uncover customers’ preferences in the selection of retail chains. Findings suggest a ranking of evaluated retail chains and thus of customer preferences. Based on the obtained evaluation, in the second part of analysis, a set of retail chains was chosen under constraints concerning the effectiveness of advertising, market share of sales and the maximum number of chosen retail chains and a binary linear programming model was formulated as an outcome. Proposed procedure aims to assist the decision maker in selecting which retail chain to choose for distribution of supplier’s products, and thus maximize benefits, which will result from consumer preferences and service satisfaction level in retail chain.

Đánh giá các tiêu chí của công nghệ cao trong sản xuất lúa và rau màu ở huyện Thoại Sơn và Châu Phú - An Giang

High-tech agriculture has been developing strongly in developed and developing countries, including Vietnam. The objective of study is to assess the application of high technology criteria for agriculture such as rice and vegetables under specific conditions in Thoai Son and Chau Phu districts, An Giang province. This study used the secondary data, documents relating to high-tech agriculture, legal documents, decrees, circulars, and agricultural policies of high technology for setting up the criteria level 1 and level 2. Methods of household interview, Rapid Rural Appraisal (PRA) and expert’s knowledge were used to synthesize and evaluate the rate of importance of the criteria for high-tech producing of rice and vegetables by using the analytic hierarchy process and multi criteria evaluation method. The results of this study showed that four criteria at level 1 and 22 criteria at level 2 were identified for rice and vegetables in term of high-tech agricultural production and also classified the important role of each criterion for the rice and vegetables production. In four criteria at level 1, technological criteria were classified as the highest important role, and the economic, social and environmental criteria were next, respectively. Regarding to the criteria at level 2, product market was classified as the most important role among the 22 criteria drawn from farmer interviews.

HARKALEH WATERSHED ECOLOGICAL CAPABILITY ASSESSMENT FOR AGRICULTURAL LAND WITH AN EMPHASIS ON THE SUSTAINABLE DEVELOPMENT

According to this study, ecological capability evaluation of land to develop agricultural and range management land uses were done based on spatial multi criteria evaluation and ovelay methods in Harkale in Lali city, southwestern Iran,2014. Ecological capability evaluation of land is one of the basic problems in environmental science. Following determination of the basin boundary on watershed topographic map (1:25000) and, analog maps were digitized in GIS environment. Next, data analysis were valued based on data collection analytical hierarchy process (AHP) method that it is one of the most typical of MCDM methods. Using AHP method, hierarchy structure of criteria was given in three level including objective, main criteria and sub criteria and weight matrixes were completed based on expert’s opinion. Then, the matrixes were analyzed in Expert choice software to give of weight criteria. In next stage, weighting results of criteria were generalized to respective layers in GIS environment. Finally, 16data layers of ecological resources were overlaid and the final map of ecological capability of the study area was given and classified in six classes including very suitable, suitable, moderately suitable, less suitable, much less suitable and non developed parts. Also, using Makhdoum method, environmental units map was produced according to evaluation levels and overlaying of ecological data layers. Then, the final map of ecological capability of Harkale watershed for developing agriculture and range management land uses was given based on SQL method. The results showed that in AHP method, suitable development of agriculture and range management land uses are allocate 1005 and 1242 ha of the study area (3855 ha) while in Makhdoum method these area contained 713 and 1568 ha, respectively. Totally, Harkale watershed has moderate ecological capability for developing agriculture and range management land uses. Keywords: Ecological capability evaluation, Multi criteria evaluation, Analytical hierachy Process ( AHP) ,Makhdoom model,GIS

Assessment of ecological passages along road networks within the Mediterranean forest using GIS-based multi criteria evaluation approach.

Major roads cause barrier effect and fragmentation on wildlife habitats that are suitable places for feeding, mating, socializing, and hiding. Due to wildlife collisions (Wc), human-wildlife conflicts result in lost lives and loss of biodiversity. Geographical information system (GIS)-based multi criteria evaluation (MCE) methods have been successfully used in short-term planning of road networks considering wild animals. Recently, wildlife passages have been effectively utilized as road engineering structures provide quick and certain solutions for traffic safety and wildlife conservation problems. GIS-based MCE methods provide decision makers with optimum location for ecological passages based on habitat suitability models (HSMs) that classify the areas based on ecological requirements of target species. In this study, ecological passages along Motorway 52 within forested areas in Mediterranean city of Osmaniye in Turkey were evaluated. Firstly, HSM coupled with nine eco-geographic decision variables were developed based on ecological requirements of roe deer (Capreolus capreolus) that were chosen as target species. Then specified decision variables were evaluated using GIS-based weighted linear combination (WLC) method to estimate movement corridors and mitigation points along the motorway. In the solution process, two linkage nodes were evaluated for eco-passages which were determined based on the least-cost movement corridor intersecting with the motorway. One of the passages was identified as a natural wildlife overpass while the other was suggested as underpass construction. The results indicated that computer-based models provide accurate and quick solutions for positioning ecological passages to reduce environmental effects of road networks on wild animals.

Assessing Ecotourism Potential in Protected Areas to Contribute to Sustainable Rural Development (Case Study: Arasbaran Protected Area- Mishehpareh Dehestan)

Assessing Ecotourism Potential in Protected Areas to Contribute to Sustainable Rural Development (Case Study: Arasbaran Protected Area- Mishehpareh Dehestan)

Evaluating the strategy of decentralized urban land-use planning in a developing region

This study emphasizes the utility of decentralized urban planning in a developing region. The multi criteria evaluation (MCE) method was applied to produce suitability surfaces for agriculture, environmental protection and urbanization. The SLEUTH urban growth model was calibrated using two of the suitability maps: agriculture and environmental protection whereas the urbanization suitability layer was used for evaluating the results. These layers were used as weighted excluded inputs under two scenarios of agricultural land protection (AP) and environmental protection (EP). In this way ranges of resistance values against urbanization were provided for the SLEUTH model calibration. Hence, the model was forced to allocate urban clusters in locations with a minimum negative impact on farmlands and natural areas. The MCE-informed SLEUTH calibration assisted in performing decentralized urban growth allocation. Predicted under both scenarios (up to 2040) in the Gorgan township area, Iran; the major urban cores with large sizes were strictly constrained from further sprawl, instead, small scale and decentralized urban centers were established and started their own growth cycles. While substantial increase in the amount of impervious surface was allowed to occur, no meaningful negative impact was brought about on the land suitability of targeted land-uses. For both scenarios, the connectivity and compactness of urban patches were also investigated. The EP storyline yielded urban patches with more connectivity, while the AP scenario was more successful in retaining higher suitability values. The decentralized strategy can serve as a planning paradigm, which simultaneously considers several environmental parameters.

Use of multiple criteria decision aid methods in case of large amounts of data

Cases of large amounts of data and high numbers of criteria for evaluation of socio–economic objects are rather frequent. Evaluation can comprise thousands of entries of data and dozens of different criteria. Quantitative methods of processing large amounts of data could be classified into two broad categories: statistical methods and multiple criteria decision aid (MCDA) methods. Statistical methods impose a number of rather strong limitations on data. In contrast, multiple criteria evaluation methods can deal with ill–defined problems and with multi–dimensional data. Results yielded by statistical methods can be comprised by specialists, while results yielded by the MCDA methods are specifically designed for decision–makers. The MCDA methods provide results in the form of ranking of alternatives by their preference to decision–makers of various backgrounds. Even if is a convenient way, it is not well–informative. In the paper, various techniques of choosing the most important criteria, of building a hierarchy of criteria, of retrieval of results of evaluation broadening usage of multiple criteria methods are proposed, making emphasis on cases with large amounts of data.

CONSUMER DEMAND: ONLINE OR RETAIL STORES

Consumers’ interest in online trade increases constantly. Therefore, this paper addresses issues of such kind. The study presented contains the following aspects. First, consumer choice models are analysed in the paper. Second, the factors, which describe consumer choice between the online and retail stores, are determined through literature analysis; benefits and limitations for each store are reviewed herein. Third, the decision making tool, which incorporates above mentioned factors, is presented. Multiple criteria evaluation methods used for consumer choice analysis are overviewed, as well. The article is based on comparative and multiple criteria analysis. Multiple criteria evaluation method (COPRAS) is used for the development of a decision making tool. The aim of the research is to propose decision making tool used to make a choice between online and retail store. The proposed tool can be useful for researchers who analyse consumer’s behaviour. DOI: http://dx.doi.org/10.5755/j01.em.19.2.4742

Assessment of trading partners for China's rare earth exports using a decision analytic approach.

Chinese rare earth export policies currently result in accelerating its depletion. Thus adopting an optimal export trade selection strategy is crucial to determining and ultimately identifying the ideal trading partners. This paper introduces a multi-attribute decision-making methodology which is then used to select the optimal trading partner. In the method, an evaluation criteria system is established to assess the seven top trading partners based on three dimensions: political relationships, economic benefits and industrial security. Specifically, a simple additive weighing model derived from an additive utility function is utilized to calculate, rank and select alternatives. Results show that Japan would be the optimal trading partner for Chinese rare earths. The criteria evaluation method of trading partners for China's rare earth exports provides the Chinese government with a tool to enhance rare earth industrial policies.