Method For Multiple Attribute Decision Research Articles

Evaluating Construction Projects’ Alternatives Using Lean Construction and Sustainability Principles in an Information Model Framework

This study evaluates and validates how BIM functionalities can foster the consideration of lean construction and sustainability principles in building design. To this end, a plugin was developed and implemented in a BIM-enabled visualization environment. This system aims to help a user decide the best design between alternatives, while considering the user’s perspective on what generates value in the project. To illustrate and validate the usability and importance of the system, the design of a warehouse with specific requirements was considered. Four design alternatives were modeled considering different types of superstructures, building envelopes, and materials. The system imported an external database and calculated the general costs, CO2 emissions, and thermal comfort indicators for each model. It also incorporated user-defined weights for each indicator and graphically displayed the results indicating the best options through a multiple attribute decision method. From the obtained results, it was concluded that it is possible to integrate BIM and lean principles to support sustainable development in the construction industry. Through an experiment with warehouse alternatives, the proposed approach revealed that the best project could save nearly 50% of CO2 emissions when compared to the worst project and that the second-best project had the best performance in terms of thermal heat flow (1.80 Megawatts). The results also indicate that the system can be a great asset in supporting the decision-making process of selecting the best design alternative and understanding the impact of design changes on cost and on the environment.

An adaptability evaluation of large-scale solar energy for hot water application based on energy-economic-environment consideration: A case study of city-residential buildings in China

Evaluation of city-residential solar hot water systems (SHWS) in a large-scale area is a complicated topic since many endogenous and exogenous factors would affect the results. This paper presents an adaptability evaluation model for regional SHWS in city-residential buildings through using multiple attribute-decision methods. The evaluation factors, including six variable parameters and eight constant parameters, were selected based on energy-economic-environment consideration. In addition, the provincial databases of the utilization of solar energy resources in China were established and 31 provincial capital cities were investigated. The results are summarized as follows: 1) the five most important factors, with summing weights accounting for 54% in total, are the solar radiation intensity, payback period, solar fraction, installation area, and water supply temperature; 2) compared with the evaluation methods regarding different factors, energy-economic-environment adaptability evaluation method is more reliable, especially when there are huge differences existing in solar energy resources, economic levels, and energy prices. 3) sensitivity analysis shows that it has little influence on the evaluation results when the weight of the first level evaluation index changes within 25%. The conclusions in this paper provide valuable guidance for renewable energy planner and decision makers.

Neutrosophic N-Soft Sets with TOPSIS method for Multiple Attribute Decision Making

Neutrosophic N-Soft Sets with TOPSIS method for Multiple Attribute Decision Making

Evaluation of Globally Operating Salesforce Staff by Multiple Attribute Decision Making Methods

Business managers, globally sales executives operating worldwide, representing brands and good reputation of international companies are a special group of staff needing especially flexible working conditions to do their job all over the world. The evaluation and rewarding of their performance is globally linked to achieving business targets. How evaluate results of all involved staff working on different international markets as one set of so many variants and criteria with ensuring transparency, objectivity and fairness? The solution is found in multiple attribute decision methods (MADM). The aim of the paper is to evaluate a group of salesforce staff making international business world-wide by using MADM to identify and reward the best sales executives and at the same time manage to make them to feel be valued for their well-done work, efforts and achievements. Two methods of multiple attribute decision making were used for this evaluation – the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Weighted Sum Approach (WSA). The results of both methods were compared and the more suitable method for this universal application practicable world-wide in terms of the processing complexity and the user friendliness was chosen and recommended. The bonus scheme is based on a healthy competition for sales executives, on a motivation to grow up and gain better results to get additional special bonus beyond the standard rewards for meeting performance targets. Part of this papers is the proposal of flexible bonuses for reached positions in the ranking of evaluated employees.

An Extended VIKOR Method for Multiple Attribute Decision Making with Linguistic D Numbers Based on Fuzzy Entropy

The linguistic [Formula: see text] numbers (LDNs) can express the fuzzy evaluation information more easily and precisely by combining the advantages of linguistic terms (LTs) and [Formula: see text] numbers (DNs). Existing researches on the fuzzy entropy of LDNs are rare, and most of the definitions of fuzzy entropy for LDNs are unreasonable. In view of this research gap, this paper improves the definition of fuzzy entropy of LDNs, which simultaneously considers the effects of confidence degrees and LTs on the value of fuzzy entropy in LDNs. Then, the weights of attributes can be calculated by the improved fuzzy entropy. Further, a new combination rule for LDNs is also presented in this paper. Based on these studies, we extend the traditional Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to the LDNs and develop the LD-VIKOR method. The proposed LD-VIKOR method is convenient to handle MADM problems with unknown attributes weights under the environment of LDNs. Finally, we verify the validity and reliability of the proposed method by an illustrative example, and analyze the advantages of the proposed method by comparing it with other existing MADM methods.

A Correlation-Based TOPSIS Method for Multiple Attribute Decision Making with Single-Valued Neutrosophic Information

The single-valued neutrosophic set (SVNS) is considered as an attractive tool for handling highly uncertain and vague information. With this regard, different from the most current distance-based technique for order preference by similarity to ideal solution (TOPSIS) methods, this study proposes a correlation-based TOPSIS model for addressing the single-valued neutrosophic (SVN) multiple attribute decision making (MADM) problems. To achieve this aim, we first develop a novel conception of SVN correlation coefficient, whose significant feature is that it lies in the interval [[Formula: see text],1], which is in accordance with the classical correlation coefficient in statistics, whereas all the existing SVN correlation coefficients in the literature are within unit interval [0,1]. Afterwards, a weighted SVN correlation coefficient is also introduced to infuse the importance of attributes. Moreover, a correlation-based comprehensive index is further proposed to establish the central structure of TOPSIS model, called the SVN correlation-based TOPSIS approach. Finally, a numerical example and relevant comparative analysis are implemented to explain the applicability and effectiveness of the mentioned methodology.

Multiple attribute decision method using similarity measure of cubic hesitant fuzzy sets

A cubic hesitant fuzzy set is a hybrid set which can express uncertain and hesitancy fuzzy information simultaneously. For multiple attribute decision-making problems in engineering practice, the complicated decision information is generally incomplete and indeterminate. Cubic hesitant fuzzy set c an be a valuable tool for describing uncertain and hesitancy fuzzy information in uncertain decision environment. Nevertheless, no similarity measure has been used to solve decision-making problems under cubic hesitant environment in previous studies. This paper presents a Jaccard similarity measure between cubic hesitant fuzzy sets and investigates their properties. Then a multiple attribute decision-making method is developed based on the weighted Jaccard similarity measure under cubic hesitant environment. Using this method, the similarity measure values between the ideal alternative and each evaluated alternative are determined to obtain the ranking order of similarity measure values and the best alternative. An illustrative example of the selection problem of project alternatives is utilized to illustrate the application of the developed decision-making method. Finally, the validity of the proposed decision-making method was demonstrated based on the comparison of the decision-making results of the illustrative example with two distance-based similarity measures.

Gray Method for Multiple Attribute Decision Making with Incomplete Weight Information under the Pythagorean Fuzzy Setting

Abstract In this study, we developed an approach to investigate multiple attribute group decision-making (MAGDM) problems, in which the attribute values take the form of Pythagorean fuzzy numbers whose information about attribute weights is incompletely known. First, the Pythagorean fuzzy Choquet integral geometric operator is utilized to aggregate the given decision information to obtain the overall preference value of each alternative by experts. In order to obtain the weight vector of the criteria, an optimization model based on the basic ideal of the traditional gray relational analysis method is established, and the calculation steps for solving Pythagorean fuzzy MAGDM problems with incompletely known weight information are given. The degree of gray relation between every alternative and positive-ideal solution and negative-ideal solution is calculated. Then, a relative relational degree is defined to determine the ranking order of all alternatives by calculating the degree of gray relation to both the positive-ideal solution and negative-ideal solution simultaneously. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

The multiple attribute decision model of grey targets based on grey potential degree

PurposeGrey target decision making is one of the important problems of decision-making theory. It is critical to express uncertain information effectively and depose them in a reasonable and simple way. The purpose of this paper is to solve the grey target problem by the grey potential degree method without whiten value and without distribution function. Furthermore, this new approach has an advantage of realizing both comparing and standardization work during the process of treating the data.Design/methodology/approachFirst, this paper makes a brief overview of the existing method for grey target decision. Then, the conception of a grey potential degree system is introduced and the conception of standard grey potential degree is build up, and a new grey potential-based method based on the grey target multiple attribute decision method is proposed. At the same time, the standard grey potential and its application in multiple resource data are studied.FindingsAt the same time the standard grey potential and its application in multiple resource data are studied. Standard grey potential is presented by means of three examples together with the comparison with the existing method to demonstrate that the grey potential-based method could be used to solve the problem of grey target decision conveniently and effectively.Originality/valueIt is very important to compare grey numbers to obtain scientific and reasonable results for a grey target decision-making problem. However, in the actual application of grey numbers, it is difficult to find out the probability density function or the whiten function of grey numbers. When grey numbers are compared and deposed through the whiten value, much information regarding grey numbers will be lost and, at the same time, the value of grey numbers in uncertainty is partly lost. The method discussed in this paper is reasonable and feasible.

Evaluation of Site for Senile Health Based on Climate

The human body, as an open system in nature, whose health is bound to be affected by climatic conditions. And these conditions have a very important impact on the length and quality of the elderly life especially. In this paper, a new method for solving fuzzy multiple attribute decision making problem is presented, where the attribute values are trapezoidal fuzzy numbers. First, based on fuzzy multiple attribute decision method, the comfort parameter of climate vector is got. Then by using the judgment matrices about the attributes given by the experts, the attribute weight vector is acquired. Finally, three similar degrees between trapezoidal fuzzy numbers are introduced to provide the supported tools for the decision-makers and the pensioners to choose the more suitable address for pension.

Optimal Path Selection Criteria for Multipath Optical Wireless Communication Link

This paper addresses the atmospheric effects on optical channel for short distance multipath communication links. The main focus is to study the performance of optical wireless system by using optimal path selection criteria using AHP algorithm. The atmospheric parameters such as air temperature, attenuation due to scattering and absorption, beam deflection, optical noise etc under varying atmospheric turbulence conditions were compared to select a best alternative optical path between transmitter and receiver. The performance degradation patterns for multiple optical links are tested to achieve maximum signal to noise ratio at every node. The multiple attribute decision method is employed at every node which involves selection from among finite number of alternatives. Different alternatives, Attributes, weight or relative importance of each attribute and measure of performance of alternatives with respect to the attributes are the main parts in each decision table of MADM methods. The simulation results are presented, base on the given finite attribute to achieve the maximum optical link availability as well as reliability of data rate in a high speed data network.

An Extended TOPSIS Method for Multiple Attribute Decision Making based on Interval Neutrosophic Uncertain Linguistic Variables

The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve the multiple attribute decision making problems in which the attribute value takes the form of the interval neutrosophic uncertain linguistic variables and attribute weight is unknown. Firstly, the operational rules and properties for the interval neutrosophic variables are introduced. Then the distance between two interval neutrosophic uncertain linguistic variables is proposed and the attribute weight is calculated by the maximizing deviation method, and the closeness coefficients to the ideal solution for each alternatives. Finally, an illustrative example is given to illustrate the decision making steps and the effectiveness of the proposed method.

Improving consistency in AHP decision-making processes

Decision making in engineering is becoming increasingly complex due to the large number of alternatives and multiple conflicting goals. Powerful decision-support expert systems powered by suitable software are increasingly necessary. In this paper, the multiple attribute decision method known as analytical hierarchy process (AHP), which uses pairwise comparisons with numerical judgments, is considered. Since judgments may lack a minimum level of consistency, mechanisms to improve consistency are necessary. A method to achieve consistency through optimisation is described in this paper. This method has the major advantage of depending on just n decision variables – the number of compared elements – and so is less computationally expensive than other optimisation methods, and can be easily implemented in virtually any existing computer environment. The proposed approach is exemplified by considering a simplified version of one of the most important problems faced by water supply managers, namely, the minimisation of water loss.

Ranking of Strategic Management Indicators in Improvement of Urban Management by Using Multiple Attribute Decision Method of TOPSIS

Planning, investment and city management have been surprisingly become so complex and difficult because of the massive growth of cities and the dual role they play. Not only Complexity and importance of the problem are facing planners to this reality but also make them to quit outdated methods of urban management, and accept new ideas and updated methods. In this study, urban development strategy was considered by emphasizing on public participation, local government power and urban vision. Because urban vision is an ideal situation which society hopes to achieve in future. Certainly one of the most important goals of this project was citizen’s welfare. Thus we tried to explain and define these criteria’s such as development strategy plan and urban management. At the end the existing approaches has been evaluated by considering urban approaches as parallel options and determining its basic indicators and their efficiency. By considering existing approaches as a multi- dimensional approach, the multi- dimensional decision method like TOPSIS method has been used and consequently existing application ranked generally and since our country is developing so this could be an efficient step to the self- help of the cities.

TOPSIS Method for Multiple Attribute Decision Making with Incomplete Weight Information in Linguistic Setting

The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic variables. We develop a new method to solve linguistic MADM with incomplete weight. In order to get the weight vector of the attribute, we establish an optimization model based on the basic ideal of traditional TOPSIS, by which the attribute weights can be determined. Based on this model, we develop a TOPSIS method to rank alternatives and to select the most desirable one(s). Finally, an example is shown to highlight the procedure of the proposed algorithm at the end of this paper.

A Subjective and Objective Synthetic Method for Multiple Attribute Decision Making

A subjective and objective synthetic method is formulated for multiple attribute decision making (MADM) problem with an attribute-judgement matrix given by a decision maker. It determines the weight of each attribute through a two-objective programming, so tliat the weights reflect both subjective attitude and objective attitude. The proofs for determining weights through this method are given. An example is presented to show the usefulness of the method.

Manufacturing plant location analysis by multiple attribute decision making: part II—multi-plant strategy and plant relocation

In part I, the multiple attribute location analysis for the single-plant strategy was provided. However, practitioners recognize the necessity of multi-plant strategy and the difficulty of relocation problems. In this article, two solution approaches in a multidimensional environment are suggested for these complex location decisions. The conclusion presents a brief discussion of the selection among multiple attribute decision methods and of the case with multiple decision makers.