MABAC Method Research Articles

Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Undergraduate teaching audit and evaluation using an extended MABAC method under <i>q</i> ‐rung orthopair fuzzy environment

Selection and Experimentation of the Best Hybrid Green Composite Using Advanced MCDM Methods for Clean Sustainable Energy Recovery: A Novel Approach

Relevant and appropriate selection of best hybrid material is a challenging task for the recent industries. The mandatory criterion is to deal with the enhanced productivity with minimum cost. Therefore, this paper highlights on the comparative study between the advanced multi-criteria approaches namely ARAS, MABAC, COPRAS and MOOSRA methods for the selection of the best hybrid composite material using aluminum (Al) as base material varying different reinforcement weights and recycling with various industrial wastes by stir casting. Al/WCE gives superior tribomechanical properties at lower cost than any other reinforcements. These advanced MCDM methods are applied, based on the properties and attributes of the hybrid composites, to compare between the computational and experimental results. The results exactly corroborate with the previous research results, which authenticate the expediency of these methods during the solving of complex hybrid material selection problems for sustainable energy recovery. Out of 48 different samples, A30 is obtained to be the best sample by ARAS approach (rank 1) which is Al+Al2O3 at 12.5%wt. addition. A24 is ranked 2 which is heat treated 12.5%wt. WCE. But the same A30 is obtained to be rank 5 and A24 is obtained to be rank 1 by MABAC method, A30 is obtained to be rank 2 and A24 to be rank 1 by COPRAS method, and A30 is calculated to be rank 1 and A24 to be rank 11 by MOOSRA method. A24 is also obtained to be the best hybrid composite as per the experimentation. This paper also aims for proper recovering of environmental friendly renewable energy for the society by fabricating the best hybrid green composite for sustainable development.

MABAC Method Dalam Penentuan Kelayakan Penerima Bantuan SPP

Acceptance of elementary school students, first level, level of preventive and tertiary levels are conducted annually. In conducting the registration, there are requirements that must be filled by the prospective registrant. Criteria determined by the school in which the scholarship registrant data will be in the data by the school. Scholarships are financing given by the government, agencies or schools, which do not originate from self-financing or parents. Scholarships are given to those who are entitled to receive because they have quality, and achievement as a scholarship recipient. In the logging of the Committee, one by one and conducted surveys and decisions from the Committee. The need for time in input and decision only by the Committee does not guarantee the decision to be taken precisely and accurately. Therefore, the need for a decision support system that can help determine the results more objective according to the criteria that have been specified. One of the methods discussed by the author here MABAC Method. There is stability in the solution and rational than some other methods of decision support system. The use of methods is conducted against 128 applicants with predefined criteria data. From the data is determined the weight of the assessment and the alternative weight of criteria that produce decent not like students receive scholarships or SPP assistance.

Decision making with MABAC method under probabilistic single-valued neutrosophic hesitant fuzzy environment

Recently, there has been great interest on single valued neutrosophic hesitant fuzzy set theory. When compared single valued neutrosophic set, it is more convenient for real life situations. But even in this case, there is still missing data for some decision problems. Probabilistic single valued neutrosophic hesitant fuzzy sets (PSVNHFSs) are defined to solve this problem. Even though it contains more information, it needs some improvements. In this paper, the modified PSVNHFS is defined and some improvements in the theory of PSVNHFS are proposed. Also, we improve some algebraic properties of this set theory and define a distance operator for PSVNHFSs. Then we introduce two aggregation operators called probabilistic single valued neutrosophic hesitant fuzzy weighted arithmetic average (PSVNHFWA) operator and probabilistic single valued neutrosophic hesitant fuzzy weighted geometric average (PSVNHFWG) operator related to algebraic properties presented in this paper. Also, we extend the MABAC method under the probabilistic single valued neutrosophic hesitant fuzzy set theory. Finally, we give an illustrative example to demonstrate the stability and reliability of the proposed theory.

A Novel TOPSIS-MABAC Method for Multi-attribute Decision Making with Interval Neutrosophic Set

Interval neutrosophic Set is a useful tool to describe the indeterminate, inconsistent, and incomplete information. This paper presents the application of the new TOPSIS-MABAC model with interval neutrosophic number in multi-attribute decision-making problem. In this model, the combined weight of attributes is obtained based on TOPSIS method while the best alternatives by MABAC method. Firstly, some definitions of INS are given in this paper. Secondly, the objective attribute weights are determined by TOPSIS method, and then a combined attribute weight is proposed. Finally an extended MABAC method is developed to rank the alternatives in multi-attribute decision-making problem and an illustrative examples are given to demonstrate the practicality and effectiveness of this new method.

MC-HFLTS&amp;MAIRCA Yöntemi Kullanılarak Yeraltı Çöp Konteynerleri için Yer Seçimi

Underground Waste Container systems are systems that provide to collect all wastes and wastes under the ground working in confined spaces and in vertical position and that prevent spread of scent and water around. Underground waste containers have many advantages compared to conventional waste containers. These are; to prevent the formation of viruses and bacteria based illnesses that may be exposed due to the inner coating of the tank under the ground, to save space, to save time in the collection of waste, to collect the waste hygienically and untouchedly. Moreover, it contributes to recycling due to on-site waste separation with more than one container taking small place. The use of underground waste containers with many advantages is increasing. In this respect, the aim of this paper is to define the criteria that are effective in placing underground waste containers, to calculate the criteria weights and to evaluate alternative locations where waste containers will be placed for a particular region. As a result of the literature review, there was no study about the location selection for underground waste containers. In this study, the integrated MC-HFLTS&MAIRCA method is used for assessing and choosing the best location for underground waste containers. This method can increase the flexibility of representing linguistic information and it can reflect in defining the gap between the ideal and empirical ponders. According to the results obtained, the most important criterion was determined as Suitability of infrastructure (C 5 ), followed by Amount of waste (C 3 ), and respectively Population density (C 2 ), Number of institution of public/private utility (C 4 ) and Distance to waste disposal point (C 1 ). The alternative order is as A 3 >A 1 >A 2 . According to the results obtained in the calculation, the first location for under ground waste containers is district of Yakutiye (A 3 ) and neighborhood of Lalapasa (B 3 ). The comparison analysis is done using MABAC method to check the validity of the results. In the MC-HFLTS&MAIRCA and MC-HFLTS&MABAC methods, A 3 and B 3 alternatives are the best one and the ranking of location for underground waste containers is the same.

Extended Z-MABAC Method Based on Regret Theory and Directed Distance for Regional Circular Economy Development Program Selection With Z-Information

Decision makers (DMs) have different cognitive levels in practical experience, information reserve, and thinking ability. Thus, decision information is often not completely reliable. As a tool that can effectively represent information reliability, Z-number has been studied by many scholars in recent years. Current research on Z-number assumes that differences in various parts of a Z-number can complement one another. However, in many cases, the preference of DMs for each part is difficult to determine, or DMs believe that the differences in various parts cannot be complementary. Therefore, to solve such decision problems, this paper attempts to extend the traditional MABAC method to the Z-information environment by introducing the directed distance and regret theory. The proposed method simultaneously considers the randomness and fuzziness of Z-number. An example about regional circular economy development program selection is provided to illustrate the feasibility of the proposed method. Results show that the proposed method can solve complex decision problems rationally and effectively, and it has broad application prospects.

An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information

This study aims to introduce a series of novel distance measures of an intuitionistic fuzzy set and an extended Multi-attributive Border Approximation Area Comparison method to address multi-criteria group decision-making problems. To aggregate the intuitionistic fuzzy information, we propose two aggregation operators, namely, the intuitionistic fuzzy Dombi generalised $$ \lambda $$-Shapley Choquet arithmetical average operator and intuitionistic fuzzy Dombi generalised $$ \lambda $$-Shapley Choquet geometric average operator. These aggregation operators consider the importance of combinations and correlations among combinations of input arguments. Furthermore, an illustrative example of a human resource management problem is presented to verify the effectiveness of the proposed method, and sensitivity and comparison analyses are conducted to demonstrate the technique’s stability and advancements. Finally, conclusions are drawn.

An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers

Considering multi-criteria group decision-making (MCGDM) problems under uncertain environment, this paper presents a novel concept of intuitionistic fuzzy rough numbers (IFRNs), which is fused by intuitionistic fuzzy numbers (IFNs) and rough numbers (RNs), and proposes a new approach for MCGDM based on IFRNs. The proposed approach can aggregate group information and obtain the final decision results in an objective and effective way. First, we propose the constructing process of IFRNs and discuss the arithmetic operations, ranking rules, aggregation operators, as well as some corresponding properties. Then the novel concept of IFRN is used to aggregate intuitionistic fuzzy information given by decision group. Based on the aggregated IFRNs, the MABAC model is extended from two perspectives, obtaining an IFN-based MABAC model and an IFRN-based MABAC model respectively. Finally an empirical example of supplier selection for medical devices is utilized to show the application of proposed models, and comparisons with five traditional models, of which three refer to information aggregating and two refer to alternatives selecting, are made to validate the effectiveness and superiority of proposed methods.

An integrated decision making approach for assessing healthcare waste treatment technologies from a multiple stakeholder

With increased worldwide awareness of environmental issues, healthcare waste (HCW) management has received much attention from both researchers and practitioners over the past decade. The task of selecting the optimum treatment technology for HCWs is a challenging decision making problem involving conflicting evaluation criteria and multiple stakeholders. In this paper, we develop an integrated decision making framework based on cloud model and MABAC method for evaluating and selecting the best HCW treatment technology from a multiple stakeholder perspective. The introduced framework deals with uncertain linguistic assessments of alternatives by using interval 2-tuple linguistic variables, determines decision makers’ relative weights based on the uncertainty and divergence degrees of every decision maker, and obtains the ranking of all HCW disposal alternatives with the aid of an extended MABAC method. Finally, an empirical example from Shanghai, China, is provided to illustrate the feasibility and effectiveness of the proposed approach. Results indicate that the methodology being proposed is more suitable and effective to handle the HCW treatment technology selection problem under vague and uncertain information environment.

Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for preparing laying-up positions

The paper proposes a hybrid model, FAHP-MABAC. The fuzzyficated Saaty's scale with the AHP method (FAHP) is used for defining the weight coefficients of criteria. The MABAC method is applied in evaluating and ranking the alternatives. This hybrid model is developed in order to support decision making while selecting locations for the preparation of laying-up positions (facilities intended for concealment, protection and maneuvering of military ships).

Application the MABAC method in support of decision-making on the use of force in a defensive operation

This paper presents the application of a new method of multicriteria comparison of approximate border areas - MABAC. The basis of the method is reflected in defining a distance of criterion function of each observed alternative from the approximate border area. A border approximate area is defined by a separate procedure for each criteria and depends on the value of all alternatives according to the observed criteria. The method is shown through six simple steps made in order to support decision-making on the use of force in a defensive operation. Previous studies were used for the definition of criteria and their weight coefficients.