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INTERAKTYWNA METODA SATYSFAKCJONUJĄCYCH POZIOMÓW KRYTERIÓW W WIELOKRYTERIALNYM PROGRAMOWANIU DYNAMICZNYM

100%

Trzaskalik T.

Metody Ilościowe w Badaniach Ekonomicznych

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2016

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vol. 17

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issue 2

134-148

PL

Celem pracy jest zaproponowanie metody pozwalającej na znajdowania rozwiązania końcowego zadania wielokryterialnego dyskretnego programowania dynamicznego z wykorzystaniem odpowiednio zmodyfikowanego podejścia interaktywnego satysfakcjonującego poziomu kryteriów. Procedura w pierwszej fazie wykorzystuje jednokryterialny algorytm programowania dynamicznego oraz algorytm generowania kolejnych realizacji procesu w zadaniu jednokryterialnym. W dalszej części proponowanej metody operujemy na skończonym zbiorze realizacji, zapisanym w postaci listy.

EN

The aim of the paper is to propose a method of finding a solution of the final tasks of multiple criteria discrete dynamic programming using suitably modified interactive - constraint approach. In the first phase single criterion dynamic programming algorithm is applied, as well the algorithm of generating near-optimal solutions. Next we operate on a finite set of sooutions, given as a list.

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Podwójna rozmyta metoda TOPSIS wspomagająca podejmowanie decyzji grupowych

94%

Kacprzak D.

Przegląd Statystyczny

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2019

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vol. 66

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issue 1

27-50

PL

Dyskretne metody wielokryterialnego wspomagania decyzji, takie jak TOPSIS, stały się bardzo popularne w ostatnich latach i są często stosowane w rozwiązywaniu wielu problemów życia codziennego. Jednak rosnąca złożoność analizowanych problemów powoduje trudności w rozważaniu wszystkich istotnych aspektów zagadnienia przez pojedynczego decydenta. W rezultacie wiele problemów życia codziennego jest analizowanych przez grupę decydentów. W takiej grupie każdy z decydentów może specjalizować się w różnych zagadnieniach i mieć unikalne cechy, takie jak wiedzę, umiejętności, doświadczenie, osobowość itp. Sprawia to, że każdy z decydentów powinien mieć różny wpływ na wynik końcowy, tzn. wagi decydentów powinny być różne. Celem pracy jest rozszerzenie rozmytej metody TOPSIS dla grupowego wspomagania decyzji. Proponowana metoda wykorzystuje metodę TOPSIS dwukrotnie. Pierwszy raz w celu określenia wag decydentów, które dalej posłużą do agregacji macierzy dostarczonych przez decydentów. Bazując na tej zagregowanej macierzy, metoda TOPSIS jest stosowana ponownie do uporządkowania wariantów decyzyjnych i wskazania wariantu końcowego. Przykład liczbowy ilustruje proponowaną modyfikację.

3

Doubly Extended Fuzzy TOPSIS Method for Group Decision Making

94%

Kacprzak D.

Przegląd Statystyczny

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2019

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vol. 66

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issue 1

27-50

EN

Multiple Criteria Decision Making methods, such as TOPSIS, have become very popular in recent years and are frequently applied to solve many real-life situations. However, the increasing complexity of the decision problems analysed makes it less feasible to consider all the relevant aspects of the problems by a single decision maker. As a result, many real-life problems are discussed by a group of decision makers. In such a group each decision maker can specialize in a different field and has his/her own unique characteristics, such as knowledge, skills, experience, personality, etc. This implies that each decision maker should have a different degree of influence on the final decision, i.e., the weights of decision makers should be different. The aim of this paper is to extend the fuzzy TOPSIS method to group decision making. The proposed approach uses TOPSIS twice. The first time it is used to determine the weights of decision makers which are then used to calculate the aggregated decision matrix for all the group decision matrices provided by the decision makers. Based on this aggregated matrix, the extended TOPSIS is used again, to rank the alternatives and to select the best one. A numerical example illustrates the proposed approach.

4

Resort Project Selection by Using Compromise Programming

84%

POPOVIĆ G., STANUJKIĆ D., PAŠIĆ TOMIĆ V.

Progress in Economic Sciences

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2017

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vol. 4

247-256

EN

Serbia is a landlocked country deprived of the possibility of developing maritime tourism. On the other hand, it has the opportunity to develop the other types of tourism, such as: mountain tourism, spa tourism, rural tourism, etc. Serbia has to improve its tourism infrastructure in order to achieve better quality and meet tourists’ requirements. In that sense, it is necessary to enhance the number of the accommodation facilities that will meet set standards. The selection of the type of the accommodation facility, as well as its location, is a very delicate issue because the right choice influences future operations and revenue. Making a decision without considering the problem from every available aspect could lead to making the wrong decisions. Multiple Criteria Decision Making methods are imposed as the logical approach to solving problems in an effective manner. In this paper, the ranking and selection of the optimal resort project focused on the tourism development of Bačka and is performed using compromise programming.

PL

Wybór obiektu noclegowego i jego lokalizacji jest kwestią bardzo delikatną, ponieważ właściwy wybór ma wpływ na przyszłe operacje i przychody. Podjęcie decyzji bez rozważenia każdego możliwego aspektu tego zagadnienia może prowadzić do nieoczekiwanych rezultatów. Stosuje się metodę wielokryterialnego podejmowania decyzji (ang. multiple criteria decision making, MCDM), ponieważ logiczne podejście do skutecznego rozwiązywania problemów jest nieefektywne. W niniejszym artykule proponuje się zastosowanie programowania kompromisowego do wyboru optymalnego projektu ośrodka dla inwestycji. Zastosowanie tej metodologii ukazano na przykładzie czterech projektów resortów w Bačce, zachodniej Wojwodinie, w Serbii. Zostały one wybrane na podstawie sześciu kryteriów, których wagi są określane przy użyciu metody SWARA.

5

Simultaneous interpretive structural modelling and weighting (SISMW)

83%

NASROLLAHI M., RAMEZANI J., SADRAEI M., FATHI M. R.

Operations Research and Decisions

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2022

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vol. 32

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issue 1

111-126

EN

Multi-criteria decision-making (MCDM) methods have been implemented in many fields. In the meantime, several methods have been proposed to obtain the weight of the criteria determined by various methods in different ways. In this paper, a new approach, called simultaneous interpretive structural modelling and weighting (SISMW), is proposed to solve a multi-criterion decision-making (MCDM) problem. Using SISMW, the weight of the criteria and the relationship between them could be determined simultaneously. In this approach, like the ISM method, pair comparison between criteria was made by the decision-maker to determine the relationships among the different criteria. With the help of this data, the weight of the criteria, as well as the causal (cause and effect) relationships between them, were determined in 12 steps. The main advantage of this method is that only one stage of data collection is required for obtaining weights and modelling, and so the research process may be faster. This may increase the reliability of the collected data because, in a one-step survey, the impact of time is minimized. This process can be useful for conceptualizing and developing theories to help decisionmakers understand the problem better.

6

A novel application of grey principal component analysis to determine stockholder’s approach towards financial ratios

83%

Babaei Falah A., Falah B.

Business and Economic Horizons

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2015

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vol. 11

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issue 1

41-50

EN

In this paper, we try to determine the stockholder’s desire approach to financial ratios using a combination of principal component analysis and grey theory.Grey Principal Component Analysis (GPCA)handles poor information reduces dimensions of variables and gives an appropriate score to each company. Here we employ GPCA to identify more appropriate strategies of normalizing data curves to reduce the discrepancy between the GPCA-ranking and return-ranking, hence determining the approaches of stockholders of listed pharmaceutical firms of Tehran Stock Exchange (TSE) regarding financial ratios.

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A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies

83%

KOKOÇ M., ERSÖZ S.

Operations Research and Decisions

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2021

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vol. 31

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issue 4

89-116

EN

Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.

8

Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries

83%

Nozari H., Fallah M., Szmelter-Jarosz A., Krzemiński M.

Central European Management Journal

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2021

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vol. 29(4)

149-171

EN

Purpose: In supply chains, creating a secure space for data production, sending, storing, and analysis has always been a critical issue. The main goal of this research was to evaluate the importance of various security criteria in an intelligent supply chain system. Methodology: The main data collection method was the expert survey. Experts validated the security criteria and sub-criteria. Then, the importance of these criteria was evaluated using the fuzzy analytic hierarchy process method. Findings: The results revealed that reliability and privacy with their sub-criteria were the most important ones among the obtained security criteria for IoT-based supply chain management. Practical implications: The research results can provide valuable insight for supply chains’ decision-makers. The findings can also be a good reference point for researchers who work on the IoT-based supply chain concept in other countries and sectors. Research limitations: Limitations of this study are the purposive sampling method and the limited scope of studied companies and sectors. Therefore, the article provides initial insight on the matter. Originality: The study presents the research problem from a new perspective and gives possible solutions for IoT-based supply chain management.

9

Food Loss Factors in the Cold Supply Chain: a Case Study in the Poultry Sector

83%

Ayadi I., Elleuch M. A., Frikha A.

Multiple Criteria Decision Making

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2023

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vol. 18

5-28

EN

Food loss is one of the challenges in the cold chain (CC), which can lead to serious problems with human safety, environment, and economies around the world. Recently, reducing food loss has drawn public attention; previous studies mostly gave attention to food loss drivers in the retailer-consumer stages of the supply chain. In this study, we focused on identifying food-loss-factors (FLF) all over the CC, and developed an approach based on multi decision-making methods and fuzzy sets to rank FLFs by those who have more influence on food loss in the poultry sector. The first phase concerns the identification of FLFs based on the literature as well as experts opinions in the poultry field. Then fuzzy Delphi method was implemented to reach the consistency level of >75% among all the group members. In the second phase, fuzzy AHP method was employed for the weighting of FLFs, in order to rank them. For the validation of our contribution, a sensitivity analysis was performed. This research presents a guide for decision makers in the CC to help them make an efficient strategy plan to reduce food loss during logistic activities.

10

An analysis of the logistics performance index of EU countries with an integrated MCDM model

71%

Alptekin U., Karaköy C. a. a.

Economics and Business Review

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2019

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vol. 5 (19)

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issue 4

49-69

EN

Countries can check the performance of their logistics’ activities to deter- mine their competitiveness in trade logistics. One way to check these performances is to analyze the country’s LPI value in detail which is released by the WB every two years. When calculating the LPI, six indicators (criteria) are taken into account. The weights (importance level) of these criteria are important for countries which would like to focus more on the most important criteria and move their ranking up in the LPI list. However the WB takes into account indicators (criteria) weights equally when calculating LPI values. In order to overcome this problem some studies have used sub- jective weighting methods and others have used objective weighting methods. Both methods have advantages and disadvantages. The aim of this study is to integrate two weighting methods (subjective (SWARA) and objective (CRITIC)) in determining the weights of criteria in order to balance the two weighting methods. Unlike other stud- ies in the literature this study combines two weighting methods. Additionally the PIV method, which is seldom used to address any MCDM problem, is used in this study and a new integrated MCDM model is introduced to literature. In this respect this study contributes to the literature.

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INTERAKTYWNA METODA SATYSFAKCJONUJĄCYCH POZIOMÓW KRYTERIÓW W WIELOKRYTERIALNYM PROGRAMOWANIU DYNAMICZNYM

Podwójna rozmyta metoda TOPSIS wspomagająca podejmowanie decyzji grupowych

Doubly Extended Fuzzy TOPSIS Method for Group Decision Making

Resort Project Selection by Using Compromise Programming

Simultaneous interpretive structural modelling and weighting (SISMW)

A novel application of grey principal component analysis to determine stockholder’s approach towards financial ratios

A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies

Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries

Food Loss Factors in the Cold Supply Chain: a Case Study in the Poultry Sector

An analysis of the logistics performance index of EU countries with an integrated MCDM model