Interpreting Weights in Multiple Criteria Decision Making

Selection of a construction material is one of the important tasks in any construction project as it is influenced by many factors like cost, durability, eco friendliness, maintenance, availability, strengths, efficiency, etc. Initially, there is a trend where they used to consider only cost and efficiency factors in the selection of a construction material. Project executives face the difficulty to arrive at a reasonable decision considering all the other influencing factors. Different varieties of construction materials are available in the market with diverse properties; hence it becomes difficult to choose a particular type of material considering all parameters having importance. Here, we are using a simple methodology to make a selection of material on multiple attribute decision making (MADM) approach in place of the existing practice. MADM is making preference decisions (selecting, ranking, screening, prioritization, classification) over the available alternatives that are characterized by attributes. In order to select a material, a simple optimization method, Simple Additive Weighting (SAW) is used. This is also called as weighted sum method. It is the simplest and still the widest used MADM method.. By using SAW method the most suitable material can be determined. The result of this method is highly dependent on the weightages of attributes and may vary from time to time. This study will be useful as a decision making tool and for increasing the confidence in selecting the materials in big projects.

Decision-makers frequently use the MADM (Multiple Attribute Decision Making) method to assist in solving decision-making issues. This approach can use a variety of algorithms, including Simple Additive Weighting (SAW) and Weighted Product (WP). The challenge in this research is determining which of the SAW and WP approaches is more pertinent or acceptable for solving scenarios involving scholarship recipient selection. Five factors were taken into consideration when deciding who would receive a scholarship: academic achievement index (GPA), parents' income, past accomplishments, participation in student organizations, and the number of parents' dependents. A sensitivity test, which involves altering the weight of each test method's criterion and then comparing the percentage change between the two ways, is one method that can be used to gauge the effectiveness of the MADM method. The SAW method implementation results show that alternative nine (MHS9) has the highest preference value, which is 0.95. The WP method implementation results show that alternative nine (MHS9) has the highest preference value, which is 0.12. The total change in the findings of the sensitivity test for the SAW method is 7.64%, compared to 2.06% for the WP method. Thus, it can be inferred that the SAW approach is thought to be pertinent for addressing the issue of choosing scholarship applicants.

Traffic offloading in Long Term Evolution (LTE) networks is a key process in cellular networks so a mobile device chooses one of the available femtocells. In the last few years, several network selection methods have been proposed based on multiple attribute decision making (MADM) techniques for traffic offloading in LTE. The Analytic Network Process (ANP) is an MADM method that has been barely studied for network selection in cellular networks; ANP configures the decision making problem as a network of attributes in order to derive priority scales of individual judgments. We propose in this paper NetANPI (Network selection ANP-based mechanism with Ideal network comparison), which is an ANP decision making mechanism for traffic offloading in LTE. We show its effectiveness by contrasting it with MADM methods proposed in the literature as AHP, ELECTRE, TOPSIS, GRA, and SAW. We also introduce a mechanism to rank the MADM algorithm using utility theory. Our results show that NetANPI outperforms the most used MADM mechanism for the interactive and conversational traffic classes.

A Spectrum Handoff Scheme for Optimal Network Selection in NEMO based Cognitive Radio Vehicular Networks: A Cost Function MADM Method based on Grey Theory based Approach

در کشورهای درحال‌توسعه، سطوح توسعه به دلیل رشد سریع و نامتقارن و عدم توسعه متناسب مناطق و اختصاص غیراصولی منابع و امکانات به مناطق برخوردار و محرومیت سایر مناطق بخصوص مناطق روستایی دستخوش نابرابری‌های چشمگیر در سطح منطقه‌ای گردیده که در موارد بسیاری نیز در حال افزایش است و سبب عدم توسعه آن‌ها در تمام ابعاد شده است. در پژوهش توصیفی- تحلیلی حاضر، برای ارزیابی شهرستان‌های استان لرستان (در بازه زمانی سال 1390) به لحاظ شاخص‌های توسعه‌مندی زیرساخت‌های انرژی و ارتباطات، از مدل پرومته 2 که به رتبهبندی گسسته گزینهها تأکید دارد، استفاده شده است. شاخص‌های مستخرج از منابع رسمی منتشر شده (نظیر فرهنگ آبادی‌های استان لرستان) به صورت نسبت تنظیم شدهاند و برای وزندهی به آن‌ها از روش تحلیل شبکهای استفاده گردیده است. در رویکرد پژوهش و با استفاده از ابزار VP ، ارزیابی و دید یکپارچه نسبت به شاخص‌های توسعه و شهرستان‌های استان (به‌مثابه گزینهها)، مطابق با تحلیلهای GAIA و GAIAWEB عملی می‌شود. لذا از نرم‌افزارهایVisual PROMETHEE و Super Decisions برای تحلیل دادهها استفاده شده است. مطابق با نتایج کلی دست آمده از مقایسه نسبی شهرستان‌ها، تنها 4 شهرستان دارای ارزش خالص مثبت بوده‌اند که در این میان، شهرستان بروجرد با جریان خالص 0.089 ، بالاترین میزان برخورداری از امکانات زیرساختی را در نواحی روستایی خود دارد.

In the present study MADM methods are used for optimization of geometrical combinations. The vortex tube is very simple thermo-fluidic apparatus which generates low temperature and high temperature air streams. The inlet fluid is tangentially compressed into the inlet nozzles of vortex tube. Thermal performance of vortex tube is noticeably influenced by its geometrical and operational parameters. In this study effect of various geometrical (L/D ratio: 15, 16, 17, 18; exit valve angle; ; cold end orifice diameter: 5,6 and , tube divergence angle: ) and operational parameters (inlet pressure: 2 to 6 bars) on the performance of vortex tube have been investigated experimentally. The best configuration of the vortex tube is chosen using Multiple Attribute Decision Making (MADM) techniques. COP for cooling and the ideal temperature difference on the cold end were used to analyse the vortex tube's performance. The WSM (Weighted Sum Method), WPM (Weighted Power Method), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and AHP (Analytical Hierarchy Process) MADM (Multiple Attribute Decision Making) methods are used. Experimental best performing combinations are obtained for Length to Diameter ratios with exit valve angle as and at orifice diameter for inlet pressure of 5 and 6 bar pressure. Best COP, efficiency and cold end temperature difference are and respectively for the combination of 15 valve angle, orifice diameter and 2 bar pressure by MADM techniques.

Beijing, Tianjin and Hebei are located in the Bohai Rim region of Northeast Asia, China. It is the region with the largest economic scale and strongest economic vitality in northern China. Due to historical development and administrative division, the economic strength of Beijing and Tianjin is strong, while the economic strength of Hebei Province is weak. The economic development of the Beijing-Tianjin-Hebei region is severely uneven. The “Beijing-Tianjin-Hebei Coordinated Development Strategy” is proposed and elevated to a national strategy in this context, aiming to explore the path of coordinated economic development in the Beijing-Tianjin-Hebei region, promote economic cooperation, balance economic differences, and enhance the overall economic strength of the Beijing Tianjin Hebei region through national leadership. The economic collaborative development evaluation in the Beijing-Tianjin-Hebei region is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and Evaluation based on Distance from Average Solution (EDAS) method has been used to cope with MADM issues. The hesitant triangular fuzzy sets (HTFSs) are used as a tool for characterizing uncertain information during the economic collaborative development evaluation in the Beijing-Tianjin-Hebei region. In this paper, the hesitant triangular fuzzy TODIM-EDAS (HTF-TODIM-EDAS) method is built to solve the MADM under HTFSs. In the end, a numerical case study for economic collaborative development evaluation in the Beijing-Tianjin-Hebei region is given to validate the proposed method. The main contributions of this paper are summarized: (1) the HTF-TODIM-EDAS method is proposed under HTFSs. (2) The MADM method is designed based on the information entropy and HTF-TODIM-EDAS method under HTFSs. (3) A numerical case study for economic collaborative development evaluation in the Beijing-Tianjin-Hebei region is given to validate the proposed method. (4) A comparison between proposed method and existing methods is carried out to check its effectiveness.

Purpose – Multiple attribute decision making (MADM) is a conceptual agenda used for evaluation and selection of optimal nanofluid to assure best performance of heat exchanger. Most of the studies focus on nanofluids focus on individual ability at one time. Relatively, not even a single study is available for selection of nanofluid for heat exchanger using concurrent design and MADM approach. The purpose of this paper is to propose a concurrent design methodology using MADM approach to assist improved design of heat exchanger concurrently for all the x-abilities in an integrated manner. Design/methodology/approach – A combined methodology of applying MADM approach using concurrent design for x-abilities is called CE-MADM approach. Implementation of nanofluid to improve thermal performance of heat exchanger entails thorough evaluation of nanofluids in various x-abilities (performance, maintenance, thermophysical properties and modelisation) to make exhaustive management decision. Sensitivity analysis is also proposed to study the behaviour of height of variation of density, heat capacity, thermal expansion and thermal conductivity with varying particle volume fraction and variation of relative closeness of available alternates from ideally best possible solution. Findings – MADM approach considering various x-abilities concurrently provide an approach for relative ranking of available nanofluids for optimum performance. Fishbone diagrams of all x-abilities are constructed to identify all the attributes and converge large number of attributes into single numerical index that are concurrently responsible for the cause thus saving time for easy evaluation, comparison and ranking by decision makers. Sensitivity analysis to demonstration height of variation of pertinent attributes with varying particle volume fraction. A MATLAB programming is established to execute calculations involved in the procedure. Originality/value – This paper comprises a predictable and effective mathematical approach to improve design of heat exchanger with nanofluid bearing in mind all the required x-abilities concurrently. This combined approach of CE-MADM is never applied before in the field of nanofluid to predict best possible results in feasible conditions considering all the x-abilities. Sensitivity analysis is also presented from the assumed mathematical equations of thermophysical properties.

Multiple attribute decision making based on novel score function of interval-valued intuitionistic fuzzy values, score matrix, and nonlinear programming model

. In recent years, academic societies have to pay more attention to the decision-making techniques and much academic research in this field has been done, but in choosing the appropriate decision, especially in the case of multi-criteria decision-making, Studies are not enough. This paper examines real case shows that the type of technique used, in both weight and in the decision-making Undeniable impact on the rankings achieved, It also specifies how to rank the resulting decisions using various methods to compare and evaluate them. This article describes three methods of multi-criteria decision-making methods of the decision of the three subsidiaries(SAW method of subset grading and Rating, TOPSIS method of subset compromise and ELECTRE method of subset Coordination) and Three methods of weighting factors(Entropy technique, AHP Technique and the combination of entropy and AHP techniques) Is evaluated. The assessment in the case of the city of Qom, in order to prioritize public and suburban transport system of the city is studied . According to the survey, the results of entropy techniques among different methods of weighting, is not a very stable And the results of the decision-making techniques, SAW, high relative stability compared to other techniques, this means that the results of this technique is low sensitivity to the weighting.

One of the key features of the the next generation of networks is the coexistence of multiple radio access technologies such as WIFI, WIMAX and LTE. This heterogeneous environment provides to the mobile users the possibility to use different services at any time and any where. Various multiple attribute decision making (MADM) algorithms have been proposed to manage the terminal mobility while ensuring the best continuity of services. Among the most MADM methods which are widely used for solving the network selection problem in the research literature are SAW, MEW, TOPSIS, GRA, VIKOR, DIA, E-TOPSIS and FADM. This paper evaluates the performance of eight MADM methods, that aim to ensure the seamless network selection under the principle always best connected.

Advances in multiple attribute decision making (MADM) require the development of information aggregation operations flexible enough to deal with neutrosophic Z-number (NZN) information. In this situation, new operations of NZNs are needed to aggregate NZNs with different values of operational parameter and to realize the MADM flexibility. Motivated by the Dombi operations, this study proposes the Dombi operations and some Dombi weighted aggregation operators of NZNs to solve a gap of flexible MADM in the setting of NZNs. Thus, the main aims of this article are (i) to propose several Dombi operations of NZNs, (ii) to present the NZN Dombi weighted arithmetic averaging (NZNDWAA) and NZN Dombi weighted geometric averaging (NZNDWGA) operators for aggregating NZN information and their properties, (iii) to establish a MADM approach based on the NZNDWAA and NZNDWGA operators for solving MADM problems under the environment of NZNs, and (iv) to give a MADM example and related comparative analysis on the issue of equipment supplier selection for indicating the applicability and efficiency of the developed MADM approach. However, the proposed MADM approach is more flexible for the selection of decision makers’ preferences and the actual requirements in MADM applications.

An approach using defuzzifying methods is proposed for the fuzzy multiple attribute decision-making (MADM) problems. The computing effectiveness of the proposed defuzzifying methods combined with the simple additive weighting (SAW) method and the technique for order preference by similarity to ideal solution (TOPSIS) method are evaluated based on a comparison to the improved fuzzy weighted average (IFWA) followed by a ranking method. Both SAW and TOPSIS methods are two of classic MADM methods. The purpose of this application is to make the method easier to program and data easier to manipulate. This results in a more practical method for fuzzy decisions. A numerical example and experiment are discussed to demonstrate the implementation of the methods in different input conditions.

Determining the “best” operationally responsive spacelift system is a classic case of competing objectives. Cost versus respon siveness in the simplest terms, with the effects of performance requirements also requiring consideration. This paper examines the application of multiple attribute decision making (MADM) techniq ues to alternative designs for Operationally R esponsive Spacelift (ORS) systems . Five different types of MADM techniques are app lied to this problem. They are D ominance, Maximin , Simple Additive Weighting, TOPSIS, and the Median Ranking M ethod. After apply ing MADM techniques, no clearly preferred ORS configuration c ould be identified from among the options that were considered .

Water is the basis of life, the foundation of nature, and the pillar of social, economic, and cultural development of societies. So, the supply of safe and consumable water has always been a concern. On the other hand, a major challenge of modern societies is the lack of precipitation and frequent droughts. Thus, the present paper assesses the principles of water governance in the Sistan region with respect to the development of water exploitation systems with an environmental approach and presents an integrated multi-attribute decision-making model with a water governance approach in the Sistan region. The simple additive weighting (SAW) method that is used here is one of the multiple attribute decision making (MADM) methods. The indicators of water governance principles were derived from the opinions of 30 water experts, faculty members, and water users in the Sistan region by the SAW method, and weights were assigned to them to form MADM matrices. According to the results, six indicators were derived as the indicators determining the principles of water governance. ‘Traditional users’ was selected as the strongest system and ‘irrigation and drainage networks exploitation companies’ as the weakest system. Also, according to the results of water experts, the first rank was assigned to ‘irrigation and drainage networks exploitation companies’ (A2) with the final crisp score of 6.818 followed by ‘water user cooperatives’ (A4) with the final crisp score of 6.515 in the second rank and ‘private firms’ (A6) with the final crisp score of 6.308 in the third rank.