Elimination Et Choice Translating Reality Research Articles

Weight Optimization Decision Algorithm in (p,q)-Rung Probabilistic Hesitant Orthopair Fuzzy Environments

Aiming at the fuzzification of a decision environment and the challenge of determining the weights associated with the interaction among decision-makers, this study offers an original method for (p,q)-rung probabilistic hesitant orthopair fuzzy multi-objective group decision-making, which is founded on the weight optimization principle. Firstly, the notion of a probabilistic hesitant fuzzy set is expanded to a (p,q)-rung. Secondly, the determination of subjective and objective weights is accomplished through the utilization of the Analytic Network Process (ANP) and the Entropy Method. According to the degree of deviation and dispersion of each weight, an optimal objective function is constructed, and the neural network is used to iteratively solve for the best scheme of the comprehensive weight. Subsequently, the Elimination Et Choice Translating Reality (ELECTRE) approach was refined and applied to decision-making in the (p,q)-rung probabilistic hesitant orthopair fuzzy environment. Finally, comparative analysis was used to demonstrate the new method’s effectiveness and superiority.

Evaluation of Operating System Using Electric Multi Criteria Decision Making Method

Operating system are computer software a user and a computer is between Communication an operating system (OS) is a All other applications on the computer Programs and programs through the launch program After loading into the computer A program that manages to make Limited application interface Requests for services through (API). Mostly, Apple Mac OS, Microsoft Windows and The top five, including Google's Android OS The IT sector is focused on OSes. Linux Operating system and Apple iOS. Operating system is most people are using the very difficult situation solving the problem in computer. ELECTRE (Elimination Et Choice Translating Reality) analysis using the ELECTRE methods, performance comparisons combining an Operating system 1, Operating system 2, Operating system 3, Operating system 4 Alternative value and Memory management, Process management, Storage management, protection and security, Software Features, Database management Evaluation Parameters in value. Operating system 1 is got the first rank whereas is the Operating system 4 is having the Lowest rank. In this paper Operating system for ELECTRE in Operating system 1 is got the first rank whereas is the Operating system 4 is having the Lowest rank.

Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review

Cropland suitability assessment is an essential technique for agricultural development and future planning. It is an evaluation to determine how suitable the land is for growing a specific crop in a particular region based on multiple parameters like soil, climate, topography, socio-economic condition, infrastructure, irrigation, existing land use/land cover and environmental aspects. The paper presents different multi-criteria evaluation (MCE) techniques such as Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and ELimination Et Choice Translating REality (ELECTRE) approaches integrated with geospatial technology, namely remote sensing and Geographical Information System for cropland suitability assessment. Review findings indicate that the AHP technique was used by53% of the researchers, followed by FAHP (16%); ANP (6%); TOPSIS (6%); ELECTRE (3%) and other techniques (16%) with or without geospatial technology. The integrated approach of MCE with geospatial was used by 69%, among which AHP technique of MCE was used by 72%; whereas, 22% used geospatial and 9% used MCE techniques alone. The results from the selected research articles also indicated that the most important input parameters were soil, topography and climate used by 97%, 88% and 74% of the researchers, respectively. The review can be helpful for researchers and decision-makers to select the most robust methods and standard parameters required for cropland suitability assessment to achieve higher agricultural production on a sustained basis.

Improved FMECA for effective risk management decision making by failure modes classification under uncertainty

Failure Mode, Effects, and Criticality Analysis (FMECA) is a proactive reliability and risk management technique extensively used in practice to ensure high system performance by prioritising failure modes. Owing to the limitations of traditional FMECA, multi-criteria decision-making methods have been employed over the past two decades to enhance its effectiveness. To consider the vagueness and uncertainty of the FMECA evaluation process, an interval-based extension of the Elimination et Choice Translating Reality (ELECTRE) TRI method is proposed in the present paper for the classification of failure modes into risk categories. Therefore, ratings of failure modes against risk parameters are provided in an interval form by a panel of FMECA experts and then properly synthesised to provide a group consensus and improve the accuracy of the results. The relative importance of the risk parameters is also considered. The method is validated using a numerical example relating to the propulsion system of a fishing vessel.

Bio-recovery of municipal plastic waste management based on an integrated decision-making framework

Recent years have seen a rapid development in industrialization and urbanization with a huge growth in the population throughout the world. In this regard, an efficient and robust decision-making framework for the concept of a green city and sustainable development goals to manage municipal plastic wastes is still needed. This study models a bio-recovery of municipal different plastic wastes management based on a new integrated Multi-Criterion Decision-Making (MCDM) approach through a case study in Mashahd, Iran. The proposed integrated MCDM framework includes the Shannon Entropy (SE), Ordered Weighted Aggregation (OWA), Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and, ELimination Et Choice Translating REality (ELECTRE) systems in an intelligent way. Through decision-making computations, all criteria are approved after extraction from the literature review by experts with more than 60% agreement percentage. Different scenarios of economic, energy, and environmental crises are created. One finding of this paper is to propose a new entrance in economic competition with plastic biodegradation to present a novel, environmental-friendly product with high-quality and low-cost advantages. Another finding determines that with an application of plastic wastes bio-recovery, citizens' satisfaction from urban management system will be increased from 49% to 64%. Whereas, based on the outcomes of this investigation, the rate of municipal waste industries development, smart city goals’ meeting, and rate of hazardous material emission from municipal solid wastes are increased to 58%, 25%, and 70%, respectively. The declared numerical outcomes illustrate the effectiveness of plastic waste bio-recovery on the smart city concept.

Economic, Ecological and Social Analysis Based on DEA and MCDA for the Management of the Madrid Urban Public Transportation System

The aim of this research is to help public transport managers to make decisions on the type of buses that should compose their public transport fleet, taking into account economic, environmental and social criteria from the point of view of sustainability. This paper fills a knowledge gap by including the social dimension of sustainability in addition to the economic and environmental dimensions. The original nature of this study lies in analyzing complementarities in the structuring of an efficiency and multicriteria problem. Our research analyzes Madrid public bus system data; the problem is structured in a comparative way between two analytical methods, a Data Envelopment Analysis (DEA) and an ELimination Et Choice Translating REality (ELECTRE) III. Our research results show that two main groups of vehicles could play a part in part the theoretical solution. The main conclusions of this research are that (a) plug-in and induction electric vehicles are not comparable to GNC and diesel–hybrid vehicles in terms of cost, pollution and service; and (b) the ELECTRE III model provides more information in solving this problem than the DEA model.

Improved minimum volume simplex analysis algorithm for unmixing of hyperspectral data

Some of the robust and high-ability processing methods like the improved Minimum Simplex Volume Analysis (MVSA) algorithm are generally time-consuming in hyperspectral data dealing especially the ground resolution is higher. In this research, MVSA was conducted for spectral analysis of HyMap and Hyperion data after a proposed data reduction to overcome the mentioned problem. The data cloud was therefore clustered based on the spectral angle mapper and Multi-Attribute Decision Making (MADM) based methods were used to determine the best threshold angle. Consequently, four indicators were applied as evaluation attributes for selecting the appropriate alternative, and “Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)” and “ELimination Et Choice Translating REality (ELECTRE)” were employed to finalize the decision. The methods resulted in 0.8 and 1.3 degrees as optimal spectral angles for HyMap and Hyperion, respectively. In this case, the image processing computational burden and the noise effect were considerably alleviated and the procedure led to accurate endmember identification.

A T-spherical fuzzy ELECTRE approach for multiple criteria assessment problem from a comparative perspective of score functions

The theory involving T-spherical fuzziness provides an exceptionally good tool to efficiently manipulate the impreciseness, equivocation, and vagueness inherent in multiple criteria assessment and decision-making processes. By exploiting the notions of score functions and distance measures for complex T-spherical fuzzy information, this paper aims to propound an innovational T-spherical fuzzy ELECTRE (ELimination Et Choice Translating REality) approach to handling intricate and convoluted evaluation problems. Several newly-created score functions are employed from the comparative perspective to constitute a core procedure concerning concordance and discordance determination in the current T-spherical fuzzy ELECTRE method. By the agency of a realistic application, this paper appraises the usefulness and efficacy of available score functions in the advanced ELECTRE mechanism under T-spherical fuzzy uncertainties. This paper incorporates two forms of Minkowski distance measures into the core procedure; moreover, the effectuality of the advocated measure in differentiating T-spherical fuzzy information is validated. The effectiveness outcomes of the evolved method have been investigated through the medium of an investment decision regarding potential company options for extending the business scope. The real-world application also explores the comparative advantages of distinct score functions in tackling multiple criteria decision-making tasks. Finally, this paper puts forward a conclusion and future research directions.

GIS-based hazard and vulnerability assessment of a torrential watershed

Torrents are ephemeral streams which usually carry heavy bedload and flash flows. The frequent changes in its course caused by meandering and migration lead to extensive damage to environment in valley and alluvial land. In the present study, application programming interface (API) was developed to analyze temporal Landsat data in Google Earth Engine(GEE) to understand land use/land cover and vegetation characteristics in the Tangri (Dangri) River, India, and Indian Remote Sensing Satellites data were used for hazard and vulnerability assessment. It is observed that because of various conservation activities as well as due to watershed inhabitants’ intervention, the areas under cropland, orchard/plantation and grass/scrub have increased. The monthly mean enhanced vegetation index (EVI) has also increased in the watershed. Although, the average annual soil loss is high, i.e., 40.4 t/ha/yr. It is highest for mountain physiographic unit (67.6 t/ha/yr.) and scrub forest (61.5 t/ha/yr.). Based on flood inundation modeling, it is estimated that for two-, five-, ten-, twenty-five-, fifty- and hundred-year return periods, 1.42–16.14% areas of watershed are likely to get inundated. Torrents’ vulnerability analysis was carried out using analytical hierarchy process (AHP) to derive composite vulnerability index by aggregating weights of various parameters and sub-parameters. The alternatives for the treatment of vulnerable sections in torrential regime were evaluated using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and ELimination Et Choice Translating REality (ELECTRE) models. The methodology demonstrated has potential to analyze torrential systems and also for their proficient planning, monitoring and management.

Modeling of the Optimization Procedure for Selecting the Location of New Thermal Power Plants (TPP)

At the level of design of thermal power plants (TPP), when making decisions related to the choice of its macro location and micro location, disposition solution and equipment structure, the choice of the right decision method is of particular importance. Multi criteria analysis involves solving inadequately structured problems, while in practical terms it is a necessary tool in solving the day-to-day tasks of decision-making, management actions, both at the design level and the exploitation of complex energy and process systems. The development of new methods and the improvement of existing multi criteria analysis methods have influenced their increasing application in the field of energy, from both theoretical and practical aspects. A particular segment of the application of multi criteria analysis methods is to make strategic or operational decisions when solving multidisciplinary problems with predominantly technical or predominantly economic content, whether looking at a part or the energy system as a whole. The application of these methods in choosing the right solutions in the decision-making tasks of management in the design, maintenance and operation of thermal power plants is based on the development of information technology and computer technology. There are several methods in use today, of which the following should be emphasized: PROMETHEE (Preference Ranking Organization METHod of Enrichment Evaluation), AHP (Analytic Hierarchy Process), IKOR, ELECTRE (ELimination Et Choice Translating REality), MAX-MIN, MAX-MAX, Hurwicz (combination of max-max and max-min methods), SAW (Simple Additive Weighting Method), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), conjunctive method, disjunctive method, etc. Depending on the method used, the ranking of alternatives or criteria, the best alternative or criterion or set of alternatives or criteria that meet certain conditions is obtained as a solution. Problems that can be considered using multi-criteria decision-making have certain common characteristics: a large number of criteria that must be created by the decision maker, a high likelihood of conflict between the criteria, inseparable (different) units of measure (as a rule, each criterion has different units of measure), as well as design or the choice of optimal concepts in a predetermined space. Solutions are either designing the best alternative or choosing the best action from a set of predefined final actions. This paper provides a brief description of the more important methods, along with an analysis of their advantages and disadvantages, as well as the possibility of applying them to solve the specific problem of choosing a micro location for TPP. Starting from the application of the modified multi criteria method for determining the priorities between individual alternatives for ranking and selecting the optimal micro location within a certain macro location within a predetermined framework, in a decision situation involving a number of decision makers of different specialty, examples of micro location selection for new thermal power facilities of TPP Stanari are given, TPP Gacko 2 and TPP Ugljevik 3, with preliminary definition of elimination criteria and criteria for comparison of locations of given TPPs.

A bifacial photovoltaic thermal system design with parameter optimization and performance beneficial validation

This study proposed a bifacial photovoltaic thermal system (BPV/T) design. The two quality properties of electrical and thermal efficiency are important characteristics in the overall performance of the BPV/T. The relationship of the important parameters, including collector material, number of collectors, diameter, storage tank volume/surface area ratio, mass flow rate, cycle temperature, and azimuth angle, with respect to the quality characteristic of the BPV/T system was discussed. The Taguchi Method was used for the experimental plan, and the Transient System Simulation (TRNSYS) software was applied for theoretical simulation. At the same time, the Main Effect Analysis (MEA) and Analysis of Variance (ANOVA) were combined to review the influence of setup parameters on the electrical and thermal efficiency. The single quality optimization setup parameter combinations were obtained. For objective multiple criteria analysis, the objective weights of electrical and thermal efficiency are obtained from the analytical data of Principal Component Analysis (PCA). Afterwards, the Elimination Et Choice Translating Reality (ELECTRE) will be employed to obtain the optimized parameter combinations for each season throughout the year. The practical validation is performed according to the multi-quality optimization setup parameter combination. The maximum errors in both the electrical and thermal efficiency between practical validation and simulation test are smaller than 4.3%. Then, the economic and footprint analysis of the BPV/T system was compared with both 1 kW photovoltaic (PV) and photovoltaic-thermal (PV/T) systems. Based on the 20-year warranty of the PV module, in terms of economic benefit, the BPV/T system is higher than the PV/T system by 18% and higher than PV by 460%. In terms of footprint analysis, BPV/T is less than PV and PV/T by 11%; however, the overall energy output per unit area of BPV/T is 20% and 210% higher than PV/T and PV, respectively. In the future, the optimized parameters and benefits analysis of the BPV/T system from this study will be further applied to the planning of solar energy technology as a point of reference for end users or industrial communities to accelerate the development of BPV/T for the renewable energy market.

Multi-attribute decision making on reverse logistics based on DEA-TOPSIS: A study of the Shanghai End-of-life vehicles industry

This study analyzes the effect of multi-attribute decision making (MADM) on the efficiency of the end-of-life vehicle (ELV) reverse logistics industry in the context of the circular economy to improve resource utilization efficiency.In this paper, the DEA-TOPSIS method, based on a prediction model of Triple Exponential Smoothing (TES), is adopted for multi-attribute decision making with a view to improving industry efficiency, Data Envelopment Analysis (DEA) is used to calculate the input and output indicators' efficiency values and the slack movements of the indicators of input and output decision-making unit's (DMU's) base with TES as the decision-making basis. Meanwhile, the Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) is used to rank alternative decision-making schemes. Moreover, the ordering is also carried out using the Additive Weighting, Weighted Product and Elimination et Choice Translating Reality (ELECTRE) method. In this study, the DEA-TOPSIS method is used to make multi-attribute decisions about industry efficiency.Taking Shanghai's ELV industry as an example, this study utilizes 2017 data from seven member-enterprises of the Shanghai End-of-life Vehicle Professional Committee; it uses the DEA-TOPSIS method based on TES to conduct an empirical study on multi-attribute decision making to improve efficiency and analyze efficiency improvement through alternative decision-making schemes. The findings show that the DEA-TOPSIS method based on TES is effective for multi-attribute decision-making to improve the ELV reverse logistics industry's efficiency.The multi-attribute decision-making in this paper facilitates the management and investment decision making of the ELV recycling industry. It also provides an effective solution for managers and researchers in the ELV industry to improve its efficiency.

Intermodal route selection for cargo transportation from Korea to Central Asia by adopting Fuzzy Delphi and Fuzzy ELECTRE I methods

ABSTRACTDue to the increase in trade from Korea to Central Asia, an efficient intermodal route for transporting cargo is important. Intermodal routing for long-distance transportation faces operational challenges, such as customs clearance, track gauge differences, and climate limitations. The initiative of the Silk Road Economic Belt recently proposed in China could improve trade and transport links in Asia and create an efficient transportation route that focuses on the railroad service provided in China. The objective of this study is to obtain an evaluation structure for intermodal routing and then find the route for transporting cargo from Korea to Central Asia under China’s Silk Road Economic Belt with integrated Fuzzy Delphi and Fuzzy (Elimination Et Choice Translating Reality (ELECTRE) I methods. After a sensitivity analysis is performed, development strategies and alternative routes are suggested. The results show that among the five principal factors, total cost is the most important factor for logistics companies when they select a transportation route, followed by reliability, transportation capability, total time, and security. Of the sub-factor weights, transportation costs and cooperation and emphasis among state organization are important. In the intermodal route results, route 3, Incheon to Qingdao to Horgos to Almaty, is preferred.

Using a modified ELECTRE method for an agricultural product recommendation service on a mobile device

The present study integrates information system engineering and management methodologies to solve a real-life case problem. We develop an agricultural product recommendation service on a mobile platform, and then to understand users’ acceptance to confirm that it can be used to solve the problem. For consumers, making the decision to purchase is complex and can be full of contradictions and conflicts. This raises the need to design a product recommendation service that uses multiple criteria to assist consumers. This study employs a modified Elimination Et Choice Translating Reality (ELECTRE) method determine a ranking order which will assist consumers in deciding which agricultural product to buy. Two major findings are proposed. First, we identified five criteria that assist consumers making buying decisions regarding agricultural products. Second, we find that when the system is established on a mobile platform, perceived ease of use does not play a critical role in user acceptance.

An Optimal Mobile Service for Telecare Data Synchronization using a Role-based Access Control Model and Mobile Peer-to-Peer Technology.

The progress of information and communication technologies (ICT) has promoted the development of healthcare which has enabled the exchange of resources and services between organizations. Organizations want to integrate mobile devices into their hospital information systems (HIS) due to the convenience to employees who are then able to perform specific healthcare processes from any location. The collection and merage of healthcare data from discrete mobile devices are worth exploring possible ways for further use, especially in remote districts without public data network (PDN) to connect the HIS. In this study, we propose an optimal mobile service which automatically synchronizes the telecare file resources among discrete mobile devices. The proposed service enforces some technical methods. The role-based access control model defines the telecare file resources accessing mechanism; the symmetric data encryption method protects telecare file resources transmitted over a mobile peer-to-peer network. The multi-criteria decision analysis method, ELECTRE (Elimination Et Choice Translating Reality), evaluates multiple criteria of the candidates' mobile devices to determine a ranking order. This optimizes the synchronization of telecare file resources among discrete mobile devices. A prototype system is implemented to examine the proposed mobile service. The results of the experiment show that the proposed mobile service can automatically and effectively synchronize telecare file resources among discrete mobile devices. The contribution of this experiment is to provide an optimal mobile service that enhances the security of telecare file resource synchronization and strengthens an organization's mobility.

Developing a mathematical assessment model for blasting patterns management: Sungun copper mine

Blasting is one of the most important operations in the mining projects that has effective role in the whole operation physically and economically. Unsuitable blasting pattern may lead to unwanted events such as poor fragmentation, back break and fly rock. Multi attribute decision making (MADM) can be useful method for selecting the most appropriate blasting pattern among previously performed patterns. In this work, initially, from various already performed patterns, efficient and inefficient patterns are determined using data envelopment analysis (DEA). In the second step, after weighting impressive attributes using experts’ opinion, elimination Et choice translating reality (ELECTRE) was used for ranking the efficient patterns and recognizing the most appropriate pattern in the Sungun Copper Mine, Iran. According to the obtained results, blasting pattern with the hole diameter of 15.24 cm, burden of 3 m, spacing of 4 m and stemming of 3.2 m has selected as the best pattern and has selected for future operation.

Multi-attribute group decision making methods with proportional 2-tuple linguistic assessments and weights

AbstractThe proportional 2-tuple linguistic model provides a tool to deal with linguistic term sets that are not uniformly and symmetrically distributed. This study further develops multi-attribute group decision making methods with linguistic assessments and linguistic weights, based on the proportional 2-tuple linguistic model. Firstly, this study defines some new operations in proportional 2-tuple linguistic model, including weighted average aggregation operator with linguistic weights, ordered weighted average operator with linguistic weights and the distance between proportional linguistic 2-tuples. Then, four multi-attribute group decision making methods are presented. They are the method based on the proportional 2-tuple linguistic aggregation operator, technique for order preference by similarity to ideal solution (TOPSIS) with proportional 2-tuple linguistic information, elimination et choice translating reality (ELECTRE) with proportional 2-tuple linguistic information, preference ranking organi...

An ELECTRE-based outranking method for multiple criteria group decision making using interval type-2 fuzzy sets

The aim of this paper is to develop an ELECTRE (ELimination Et Choice Translating REality)-based outranking method for multiple criteria group decision-making within the environment of interval type-2 fuzzy sets. Along with considering the context of interval type-2 trapezoidal fuzzy numbers, this paper employs a hybrid averaging approach with signed distances to construct a collective decision matrix and proposes the use of ELECTRE-based outranking methods to analyze the collective interval type-2 fuzzy data. By applying a signed distance approach, this work identifies the concordance and discordance sets to determine the concordance and discordance indices, respectively, for each pair of alternatives. Based on an aggregate outranking matrix, a decision graph is constructed to determine the partial-preference ordering of the alternatives and the ELECTREcally non-outranked solutions. This paper provides additional approaches at the final selection stage to yield a linear ranking order of the alternatives. The feasibility and applicability of the proposed methods are illustrated with an example that addresses supplier selection, and a comparative analysis is performed with other approaches to validate the effectiveness of the proposed methodology.

Selection of Equipment for Construction of a Hilly Road Using Multi Criteria Approach

Planning and construction of a road in hilly region is very challenging which involves complex processes such as reconnaissance and survey to fix the alignment, formation work and construction of various layers of pavement. It has always been a daunting task for implementing agencies to select proper equipments effectively during construction of a road by taking into consideration of both tangible and intangible factors so as to maximize the benefits of the limited resources. An application of five multi-criteria decision making (MCDM) techniques to a typical selection of equipments used for hilly road construction is presented. Three criteria representing earthwork operations, operational efficiency and convenience of manager have been considered with six sub criteria each for selection of seven different construction equipment alternatives. Five MCDM techniques: Analytical Hierarchy Process (AHP), Simple Additive Weights Method (SAW), Distance Based Method (DBM), Preference Ranking Organization Method (PROMETHEE) and Elimination Et Choice Translating Reality (ELECTRE) methods are examined as potential decision-aid tools to select the appropriate management scheme. Comparison of the results shows that these quite different MCDM techniques lead to a similar subset of recommended solutions. Finally, a case study of Katra-Reasi road of 26 Km length has been carried out to evaluate correct equipments/machinery used for construction of the road hereby optimizing the output. The study clearly demonstrates that alternative dozer D80 is the best choice among the alternatives which has maximum output of 48 cum/hr.

Application of Fuzzy AHP and ELECTRE to China Dry Port Location Selection

The selection of optimal dry ports construction projects is a process of multi-objective decision making. This paper lists 6 important factors that have influence on dry ports location selection in China according to references: transportation, economic level, infrastructure facilities, trade level, political environmen, cost. And based on these, the paper combines two optimal selection model of dry ports construction projects--Fuzzy-AHP and ELECTRE (Elimination Et Choice Translating Reality) in the New Eurasia Continental Bridges (NECB) of China region. Compared with simple quantitative or qualitative decision- making model of site selection, this model takes the fuzziness and preference of the factors affecting site selection proposals into account, which is much more suitable for decision makers making decisions to the real situation. It provides scientific reference on the reasonable distribution of dry ports, saving cost of logistics and ports construction, avoiding reduplicate port construction, and scientific site selection.