Plithogenic SWARA-TOPSIS Decision Making on Food Processing Methods with Different Normalization Techniques

Decision making (DM) is a process of choosing the optimal alternative with the maximum extent of criteria satisfaction. The challenging aspect in making optimal decisions is the suitable choice of multi-criteria decision-making (MCDM) methods that consider the initial input as the expert’s opinion on criteria satisfaction by the alternatives. This initial decision-making matrix representation discriminates MCDM as fuzzy, intuitionistic, neutrosophic to handle the decision-making environment that is characterized by uncertainty, impreciseness, and indeterminacy, respectively. A generalized kind of representation by plithogenic sets optimizes the decision-making risks. This chapter aims in developing SWARA-TOPSIS with plithogenic representations and discusses the efficiency of this integrated approach over the method of TOPSIS with equal criterion weight. A comparative analysis of four different normalization techniques is likewise made. The proposed plithogenic integrated MCDM model is validated with the decision making on four food processing methods. The final ranks of the alternatives are also compared under the proposed plithogenic SWARA-TOPSIS and TOPSIS models with different normalization techniques. The results witness the efficiency of the proposed model over the existing models.

Objectively measured patterns of daily physical activity and phenotypic frailty

Background Self-reported low physical activity is a defining feature of phenotypic frailty but does not adequately capture physical activity performed throughout the day. This study examined associations between accelerometer-derived patterns of routine daily physical activity and frailty. Methods Wrist accelerometer and frailty data from 638 participants (mean age 77 (SD=5.5) years; 44% women) were used to derive five physical activity metrics: active minutes/day, sedentary minutes/day, total activity counts/day, activity fragmentation (reciprocal of the average active bout length) and sedentary fragmentation (reciprocal of the average sedentary bout length). Robust, pre-frail and frail statuses were identified using the physical frailty phenotype defined as having 0, 1-2, or ≥3 of the following criterion: weight loss, exhaustion, slowness, self-reported low activity, and weakness. Frailty was collapsed into not frail (robust and prefrail) and frail, and each frailty criteria was dichotomized. Multiple logistic regression was used to model each accelerometer metric. Separate frailty criteria and interactions with age and sex were also examined. Results With higher amounts and intensity of daily activity (more active minutes, fewer sedentary minutes, higher activity counts) and lower activity fragmentation, the odds of frailty were lower compared to robust/prefrail states (p<0.02 for all). For interactions, only an age by sedentary fragmentation interaction on the odds of frailty was observed (p=0.01). For each separate criteria, accelerometer metrics were associated with odds of slowness, low activity, and weakness. Conclusion Less favorable patterns of objectively measured daily physical activity are associated with frailty and the components of slowness, low self-reported activity, and weakness.

Evaluation of Safety Degree at Railway Crossings in Order to Achieve Sustainable Traffic Management: A Novel Integrated Fuzzy MCDM Model

Sustainable traffic system management under conditions of uncertainty and inappropriate road infrastructure is a responsible and complex task. In Bosnia and Herzegovina (BiH), there is a large number of level crossings which represent potentially risky places in traffic. The current state of level crossings in BiH is a problem of the greatest interest for the railway and a generator of accidents. Accordingly, it is necessary to identify the places that are currently a priority for the adoption of measures and traffic control in order to achieve sustainability of the whole system. In this paper, the Šamac–Doboj railway section and passive level crossings have been considered. Fifteen different criteria were formed and divided into three main groups: safety criteria, road exploitation characteristics, and railway exploitation characteristics. A novel integrated fuzzy FUCOM (full consistency method)—fuzzy PIPRECIA (pivot pairwise relative criteria importance assessment) model was formed to determine the significance of the criteria. When calculating the weight values of the main criteria, the fuzzy Heronian mean operator was used for their averaging. The evaluation of level crossings was performed using fuzzy MARCOS (measurement of alternatives and ranking according to compromise solution). An original integrated fuzzy FUCOM–Fuzzy PIPRECIA–Fuzzy MARCOS model was created as the main contribution of the paper. The results showed that level crossings 42 + 690 (LC4) and LC8 (82 + 291) are the safest considering all 15 criteria. The verification of the results was performed through four phases of sensitivity analysis: resizing of an initial fuzzy matrix, comparative analysis with other fuzzy approaches, simulations of criterion weight values, and calculation of Spearman’s correlation coefficient (SCC). Finally, measures for the sustainable performance of the railway system were proposed.

A multi-criteria decision-making method based on triangular interval-valued fuzzy numbers and the VIKOR method

In many cases, complex problems cannot be accurately described by precise numerical values. Fuzzy theory provides a suitable tool for solving these problems. However, if decision makers cannot reach an agreement on the method for defining linguistic variables based on fuzzy sets, TIVFNs (triangular interval-valued fuzzy numbers) can provide more accurate modeling. Therefore, solving fuzzy MCGDM (multiple criteria group decision-making) problem with an unknown expert weight and criterion weight in TIVFNs has become an important research direction. In this paper, TIVF-VIKOR (triangular interval-valued fuzzy VIKOR) method, which is suitable for the environment of TIVFNs, is proposed to solve the problem of fuzzy MCGDM. To achieve this goal, the TIVF-VIKOR method is innovatively adopted similarity and coefficient of variation are combined to calculate expert weight, and deviation maximization method based on divergence matrix is used to calculate criterion weight. VIKOR method is used to find the compromise solutions, which are converted into the form of binary connection number, and the optimal compromise solution is obtained after ranking. The proposed method is applied to the problem of machine fault detection, and the validity and feasibility of the method are illustrated. Compared with the TOPSIS∖ELECTRE method, the ranking results of the three methods are equivalent, and the fluctuation of the TIVF-VIKOR method is more distinct.

EVALUATING THE COMPREHENSIVE IMPACTS OF TOURISM IN HAINAN BY INTERGRATING INPUT-OUTPUT MODEL WITH MCDM METHODS

To evaluate the comprehensive impacts of tourism in Hainan, this paper proposes an approach integrating input-output (IO) model with multi-criteria decision making (MCDM) methods. Four steps are taken: (1) constructing an extended IO model that can separate out domestic and imported effects from the traditional IO system; (2) constituting a 3-level evaluation criteria hierarchy based on various tourism multipliers obtained from the extended IO model; (3) calculating the weights of criteria using the entropy theory; (4) giving an evaluation of comprehensive impacts of tourism based on four MCDM methods – WSM, TOPSIS, ELECTRE, and PROMETHEE. Using Hainan 2002, 2007, and 2012 IO tables as database, the proposed approach is implemented in the empirical study of Hainan. The results show economic dimension is the most important consideration and the overall performance of tourism in Hainan shows a trend of first increasing and then decreasing from 2002 to 2012. Two types sensitivity analysis of weights show single criterion weight change has little influence on the results. But it is different when four dimensions weights change. Especially, when the environmental dimension is valued, the overall performance gets worse annually. These findings can offer insightful policies for the development of Hainan’s tourism.

Multi-Criteria Decision-Making Approach for Selecting Wind Energy Power Plant Locations

In pursuit of green technology innovations, the energy industry is showing an interest in sustainable sources such as wind energy generation. The Saudi Arabian energy industry has a 2030 target to generate and transmit electricity to major customers nationwide and other neighboring Gulf countries. However, the selection of wind energy power plant locations is a concern because the decision process involves social, technological, economical, and environmental factors. The originality of this study lies in (1) proposing an integrated quantitative and qualitative multi-criteria decision making framework for selecting wind-energy power plant locations; (2) applying the proposed framework in the context of the energy industry in a gulf region country and investigating expert-based and entropy-based criterion weight assignments; (3) choosing five possible alternative wind energy power plant locations with 17 response criteria for each alternative to help decision makers identify the best possible alternative; and (4) establishing the superiority of one alternative over another (if it exists). The presented approach extends considerable support to the comparing and ranking of alternatives along with its validation and sensitivity analysis. Based on the proposed multi-criteria decision-making approach, an appropriate wind energy power plant location has been successfully selected among the five alternatives.

FORMULATING KRI MARITIME SECURITY CAPABILITY USING FUZZY WEIGHTING

KRI or Indonesian Navy warships has very significant role in maintain the maritime security and uphold the law on Indonesian waters. In order to deploy their KRI, TNI AL needs to measure their KRI Maritime Security (KAMLA) capability. This paper aim is to provide a formula that express KAMLA capability of a KRI out of 3 criterions (sensors, weaponry & Platforms) and 9 sub criterions. Fuzzy Weighting method has been used to derived 4 expert preference into formula of criterion weight. The result is KC = 0,45 S + 0,23 W + 0,32 P. Further work still need to do develop the formula into more detailed criterion.Keywords: KRI, Maritime Security, Fuzzy Weighting

PENERAPAN PROFILE MATCHING UNTUK SELEKSI ASISTEN LABORATORIUM

Laboratory assistants in universities are usually active students who are recruited to help lecturers implement theoretical courses given by lecturers in class. Assistant recruitment is carried out to screen students who have talent in teaching, because in addition to assisting lecturers in providing practical material, becoming an assistant is a way to measure personal abilities that have talent in teaching. This study applies the profile matching method by determining the gap value which is the difference between the candidate values and the standard that has been set between the profile data from the selected assistant candidates. The purpose of applying this profile matching method is to get an assistant that is in accordance with the main and supporting factors that the reviewer will determine in each selection. Calculation using the profile matching method gives different weights to each criterion, so that the criteria have weights according to the type or standard of interest. This study uses a prototype method that involves the user in the analysis process. This study resulted in a calculation method using the profile matching method by determining each criterion weight, then classifying or dividing criteria into core factors and secondary factors which ultimately resulted in the total amount of the whole, and then ranking.Keywords : Assistant, Profile Matching, decision making, core factors, secondary factors.Asisten laboratorium di perguruan tinggi biasanya merupakan mahasiswa aktif yang direkrut untuk membantu dosen mengimplementasikan mata kuliah teori yang diberikan dosen dikelas. Rekrutmen asisten dilakukan untuk menyaring mahasiswa yang memiliki bakat dalam mengajar, karena selain untuk membantu dosen dalam memberikan materi praktikum, menjadi asisten adalah cara untuk mengukur kemampuan personal yang memiliki bakat dalam mengajar. Penelitian ini menerapkan metode profile matching dengan menentukan nilai gap yang merupakan selisih nilai calon dengan standar yang sudah ditetapkan antara profil data dari calon asisten yang diseleksi. Tujuan dari penerapan metode profile matching ini adalah untuk mendapatkan asisten yang sesuai dengan faktor utama dan pendukung yang akan ditentukan reviewer setiap seleksi dilakukan. Perhitungan menggunakan metode profile matching memberikan bobot berbeda pada setiap kriteria, agar kriteria mempunyai bobot sesuai dengan tipe atau standar kepentingannya. Penelitian ini menggunakan metode prototype yang melibatkan user dalam proses analisis. Penelitian ini menghasilkan cara perhitungan menggunakan metode profile matching dengan menentukan setiap bobot kriteria, kemudian mengelompokkan atau membagi kriteria menjadi core factor dan secondary factor yang akhirnya menghasilkan jumlah total dari keseluruhan, dan kemudian dilakukan perankingan.Kata Kunci : Asisten, Profile Matching, pengambilan keputusan, core factor, secondary factor

WEBIRA - Comparative Analysis of Weight Balancing Method

The attributes weight establishing problem is one of the most important MCDM tasks. This study summarizes weight determining approach which is called WEBIRA (WEight Balancing Indicator Ranks Accordance). This method requires to solve complicated optimization problem and its application is possible by carrying out non trivial calculations. The efficiency of WEBIRA and other MCDM methods – SAW (Simple Additive Weighting) and EMDCW (Entropy Method for Determining the Criterion Weight) compared for 4 different data normalization methods. The results of the study revealed that more sophisticated WEBIRA method is significantly efficient for all considered numbers of alternatives. Efficiency of all methods decreases with increasing number of alternatives, but WEBIRA is still applicable, while application of other methods is impossible as the number of alternatives is greater than 11. WEBIRA is the least affected by the data normalization, while EMDCW is the most affected method.