Using fuzzy mathematics for decision making in economics

Pavkov, Ivan; Japundžić, Miloš

doi:10.5937/skolbiz1202128p

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…The application of fuzzy logic has two approaches, a narrower approach, in which fuzzy logic is an extension of classical logic, and a broader approach, where fuzzy logic is used in sets that have no clear boundaries. Fuzzy logic allows the nuance of the degree of belonging of an element to a certain set, i.e., we assign a real number to each element as the degree of belonging of that element to the set [47]. Fuzzy logic is closer to human thinking because, in the real world, there are situations that are not defined and for which it is difficult to determine the boundary of the set.…”

Section: Methodsmentioning

confidence: 99%

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

et al. 2022

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Bosnia and Herzegovina (abbreviated BiH) has great potential for fruit production. BiH has over 1.5 million hectares of agricultural land. In addition, there are excellent climatic conditions for growing fruit. However, although there is a long tradition of fruit production in BiH, this production must be improved. This paper provides guidance on making decisions in fruit growing when there are multiple criteria. All criteria are divided into two groups: economic and technical criteria. The economic criteria are further divided into three subcriteria, namely: marketing costs, orchard construction costs and processing and transport costs. Technical criteria are divided into four subcriteria, namely: fruit, variety resistance, production characteristics and processing and transport. According to these, a multicriteria decision-making model based on linguistic values was created. In order to take advantage of these values, a fuzzy approach was applied. Using this approach, decision-making process is easier because decision making is tailored to human thinking. For the example of raising a new orchard in the area of Semberija, an evaluation of seven different varieties of pears was performed. This problem is solved by applying the method of multicriteria analysis (MCDA). To solve this research problem, the MABAC (Multi-attributive border approximation area comparison) method was used. Using the fuzzy MABAC method, the obtained results show that the Šampionka variety has the best indicators among observed varieties. In addition, the Konferans variety achieved good results, and these two varieties are the first choice for raising a new orchard of pears. The paper validates the results and performs sensitivity analysis. The contribution of this research is to develop a new model of decision making by using a new methodology that facilitates decision making on variety selection. This model and methodology provide a flexible way of making decisions in fruit growing.

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Section: Methodsmentioning

confidence: 99%

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

et al. 2022

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Use of fuzzy logic for measuring practices and performances of supply chain

Kozarevic

Puška

2018

Operations Research Perspectives

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Transformation of linguistic values in numerical values using fuzzy logic

Puška¹,

Šadić²,

Stovrag³

2018

Serb J Engin Manag

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1 Nezavisni istraživač, Brčko, Bosna i Hercegovina, adispuska@yahoo.com 2 JZU Zdravstveni centar Brčko, Bosna i Hercegovina 3 Visoka škola eMPIRICA u Brčkom distriktu BiH, Brčko, Bosna i HercegovinaApstrakt: Prilikom realizacije primarnih istraživanja u društvenim naukama najviše se koriste anketni upitnici. Unutar anketnih upitnika moguće je konstruirati pitanja na različite načine. Međutim, kod mjerenja kvantitativnih obilježja najviše se koristi intervalna skala od koja je najpoznatija Likertova skala. Kod ove skale odgovori na postavljene tvrdnje se konstruišu u vidu lingvističkih vrijednosti. Da bi se provela statistička analiza dobivenih rezultata predstavljenih u vidu lingvističke vrijednosti potrebno ih je transformisati u numeričke vrijednosti. Cilj ovoga rada je prikazati kako se pomoću fuzzy logike i odgovarajućih metoda mogu transformisati lingvističke vrijednosti u numeričke vrijednosti. Predmet rada je ponuditi inovativnu metodologiju za transformaciju lingvističkih vrijednosti u numeričke da bi se iste mogli statistički obraditi.Transformacija se obično vrši tako što se određenoj izjavi dodjeljuje numerička vrijednost. Ukoliko se primjenjuje skala od 7 tvrdnji onda se vrši transformacije u numeričke vrijednosti od 1 do 7. Ljudskom razmišljanju je lakše da koristi lingvističke vrijednosti kod odgovora jer na neka pitanja se ne mogu dati precizni odgovori. Zbog toga u ovom radu prezentovati će se metodologija na koji način se lingvističke vrijednosti mogu transformisati u numeričke vrijednosti korištenjem fuzzy logike. Postupak transformacije biti će objašnjen na primjeru varijable praksa lanca snabdijevanja.Ključne riječi: Lingvističke vrijednosti, fuzzy logika, numerička vrijednost, praksa lanca snabdijevanja.Abstract: Primary research in social sciences is mostly used in survey questionnaires. Within the questionnaire, it is possible to elaborate questions in different ways. However, when measuring the quantitative properties, the most frequently used scale is Likert scale. Responses to statements are constructed in for of language values. In order to show the statistical analysis of the obtained results in the form of language values, it is necessary to convert them into numerical values. The aim of this paper is to show that we can transform linguistic values into numerical values using fuzzy logic and the corresponding methods. The subject of the paper is to offer an innovative methodology for the transformation of linguistic values into numerical ones so that they can be statistically processed. Converting is usually done by assigning a numerical value to a particular statement. If a 7-scale is applied, then transformations into numeric values are made from 1 to 7. For human way of thinking it is easier to use the linguistic value of the answer because it is not possible to give precise answers to some questions. Therefore, this paper presents a methodology in which linguistic values can be converted into numerical values using fuzzy logic. The transformation process is explained by an example...

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Using fuzzy mathematics for decision making in economics

Cited by 3 publications

References 4 publications

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

Use of fuzzy logic for measuring practices and performances of supply chain

Transformation of linguistic values in numerical values using fuzzy logic

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