A HYBRID LBWA - IR-MAIRCA MULTI-CRITERIA DECISION-MAKING MODEL FOR DETERMINATION OF CONSTRUCTIVE ELEMENTS OF WEAPONS

The paper demonstrates a model whose goal is to define the construction elements of weapons necessary to meet minimum requirements of users. The complexity of the problem, conditioned by different construction elements of weapons and specific situations of their use, is the reason for using methods of multi-criteria decision-making. In the paper we used the hybrid LBWA – IR-MAIRCA model. With this model, one can conduct an analysis of characteristics of the existing weapons, based on which we define the construction elements for modifying the existing and manufacturing new weapons. Regarding a large number of different types of weapons, the paper is limited to the analysis of close-quarters combat weapons. The LBWA method was used to calculate weight coefficients of the criteria. The MAIRCA method, which was modified by interval rough numbers, was used to select the best close-quarters combat weapon that has the best characteristics in accordance with the requests of the users. Based on the analysis, the users have the option to clearly and precisely define requests for improvement of the existing, and manufacturing new weapons.

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Determining the Competitiveness of Spa-Centers in Order to Achieve Sustainability Using a Fuzzy Multi-Criteria Decision-Making Model

Sustainability ◽

10.3390/su12208584 ◽

2020 ◽

Vol 12 (20) ◽

pp. 8584

Author(s):

Miroslav Mijajlović ◽

Adis Puška ◽

Željko Stević ◽

Dragan Marinković ◽

Dragan Doljanica ◽

...

Keyword(s):

Decision Making ◽

Medical Tourism ◽

Multi Criteria Decision Making ◽

Sustainable Business ◽

Fuzzy Methods ◽

Current State ◽

Different Types ◽

Solution Methods ◽

Decision Making Model ◽

Consistency Method

Bosnia and Herzegovina (B&H) possess many natural resources that can be exploited for the development of medical tourism. The offer of medical tourism in B&H is focused on spa tourism. B&H has 16 registered spa-centers offering different types of services. This study provides a complete overview of the assessment of the current state of spa-centres using expert decision-making and methods of multi-criteria analysis. An innovative and novel MCDM model based on integration of the FUCOM (full consistency method) and fuzzy MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) methods was used. The model consists of 16 alternatives and eight sustainable criteria. The results of this research have shown that the spa-centers of Ilidža near Sarajevo, Fojnica and Vrućica have the best assessments of the current situation and prerequisites for sustainable business. These spa-centers should be a benchmark to other spas providing direction on how to improve their business to be more sustainable and competitive in the market. These results were confirmed by a sensitivity analysis with two approaches used. The first approach was to compare the results obtained by the fuzzy MARCOS method with other fuzzy methods, and the second approach was to examine the influence of the application of different weights on the final ranking of the spa. The results of this study can serve spa-canter managers to understand the position of their spa-centers in order to exploit advantages they have and eliminate the shortcomings to improve their business.

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Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

Journal of Economics and Development ◽

10.33301/2019.jed.spi.09 ◽

2019 ◽

pp. 125-133

Author(s):

Duong Truong Thi Thuy ◽

Anh Pham Thi Hoang

Keyword(s):

Decision Making ◽

Commercial Banks ◽

Decision Model ◽

Business Models ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Topsis Method ◽

Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

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An algebraic approach to N-soft sets with application in decision-making using TOPSIS

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-202717 ◽

2021 ◽

pp. 1-21

Author(s):

Muhammad Shabir ◽

Rimsha Mushtaq ◽

Munazza Naz

Keyword(s):

Decision Making ◽

Mathematical Models ◽

Real World ◽

Algebraic Approach ◽

Multi Criteria Decision Making ◽

Commutative Monoids ◽

Soft Sets ◽

Algebraic Properties ◽

Different Types ◽

Selection Of

In this paper, we focus on two main objectives. Firstly, we define some binary and unary operations on N-soft sets and study their algebraic properties. In unary operations, three different types of complements are studied. We prove De Morgan’s laws concerning top complements and for bottom complements for N-soft sets where N is fixed and provide a counterexample to show that De Morgan’s laws do not hold if we take different N. Then, we study different collections of N-soft sets which become idempotent commutative monoids and consequently show, that, these monoids give rise to hemirings of N-soft sets. Some of these hemirings are turned out as lattices. Finally, we show that the collection of all N-soft sets with full parameter set E and collection of all N-soft sets with parameter subset A are Stone Algebras. The second objective is to integrate the well-known technique of TOPSIS and N-soft set-based mathematical models from the real world. We discuss a hybrid model of multi-criteria decision-making combining the TOPSIS and N-soft sets and present an algorithm with implementation on the selection of the best model of laptop.

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Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

International Journal of Engineering Business Management ◽

10.1177/18479790211023348 ◽

2021 ◽

Vol 13 ◽

pp. 184797902110233

Author(s):

Stefania Bait ◽

Serena Marino Lauria ◽

Massimiliano M. Schiraldi

Keyword(s):

Decision Making ◽

Value Chain ◽

Multinational Enterprises ◽

Value Added ◽

Plant Performance ◽

Multi Criteria Decision Making ◽

African Countries ◽

Analytic Hierarchy ◽

Location Selection ◽

Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

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