An integrated fuzzy multi criteria group decision making model for handling equipment selection

The problem of handling equipment selection plays a significant role in the total cost of a mining project; so that it can affect the activity and continuity of the project and is a strategic problem. In this study, an integrated model based on two fuzzy multi-criteria decision making techniques for handling equipment selection is proposed. The proposed evaluation model is derived from group decision making, fuzzy set theory, analytical hierarchy process (AHP), and Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The fuzzy AHP (FAHP) method is utilized to calculate the relative importance of the evaluation criteria, then, fuzzy TOPSIS (FTOPSIS) is applied for evaluating the feasible handling equipment in order to select the best handling system among a pool of the possible alternatives. The model is applied for a real world case study to demonstrate the capability and effectiveness of the proposed model. To investigate the result sensitiveness to the changes of the criteria weights, a sensitivity analysis is finally conducted

KORIŠTENJE INTEGRIRANOG MCDM MODELA ZA ODABIR TEHNIKE RUDARENJA U SLUČAJU NESIGURNOSTI

The aim objective of this study is to model mining method selection problem for a real world case in Angouran mine which is one of the major zinc producers in Iran. According to many problems of ore body extraction are direct or indirect depend on underground mining method, this issue is one of the most critical decisions in the design stage of mine that should be made. A number of the evaluation criteria that often are in conflicting with each other exist for evaluating feasible mining methods. Therefore, the problem of mining method selection is a multi-criteria decision making (MCDM) issue.On the other hand, according to the sophisticated structure of the problem, imprecise data, less of information, and inherent uncertainty, the usage of the fuzzy sets can be useful. In this paper an integrated model based on fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) is developed. FAHP is applied to determine the relative weights of the evaluation criteria for mining method selection that these weights are inserted to the FTOPSIS technique to rank the alternatives and select the most appropriate alternative. The study was followed by the sensitivity analysis of the results. The results of this study demonstrate the efficiency, capability, and robustness of the proposed model, which can be applied to different types of sophisticated problems in reality.Cilj ovog rada je izvođenje efikasnog i primjenjivog modela odabira najbolje proizvodne tehnike na primjeru Angouran rudnika koji je jedan od glavnih proizvođača cinka u Iranu. Proizvodne tehnike ekstrakcije ruda su izravno ili neizravno ovisne o izboru tehnika izvlačenja ruda, jednog od najkritičnijih pitanja u odlučivanju u fazi projektiranja rudnika koji bi trebao biti izrađen. Broj evaluacijskih kriterija često su u sukobu jedni s drugima pri odabiru i ocjeni prihvatljive proizvodne (rudarske) metode i tehnike. Dakle, problem odabira prihvatljive proizvodne rudarske metode u praksi je problem odabira multi-kriterijskog odlučivanja (MCDM). S druge strane, s obzirom na složenost i strukturu problema, nepreciznih podataka, manjkavost informacija, a time i inherentnu nesigurnost, korištenje fuzzy tehnika može biti od iznimne koristi. U ovom radu integrirani model koji se temelji fuzzy analitičkoj hijerarhiji procesa (FAHP) i fuzzy tehnikama za redom preferencija po sličnosti idealnog rješenja (FTOPSIS) je razvijen i prezentiran. FAHP se primjenjuje za određivanje relativne težine kriterija za ocjenu najbolje proizvodne tehnike pri ekstrakciji ruda u odnosu na ostale dostupne alternativne proizvodne tehnike. Rezultati istraživanja rada testirani su analizom osjetljivosti rezultata. Rezultati ovog istraživanja pokazuju učinkovitost, sposobnost i robusnost predloženog modela izbora proizvodnih tehnika, koji se mogu primijeniti na različite vrste složenih problema u stvarnom životu

Case-based reasoning for product style construction and fuzzy analytic hierarchy process evaluation modeling using consumers linguistic variables

Key form features are relative to the style of a product and the expression style features depict the product description and are a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retrieval when combined with fuzzy sets. Firstly, a style knowledge and features database are constructed using fuzzy case based reasoning technology (FCBR). A similarity measurement method based on case-based reasoning and fuzzy model of the fuzzy proximity method may be defined by the Fuzzy Nearest-Neighbor (FNN) algorithm obtaining the style knowledge extraction. Secondly, the Linguistic Variables (LV) are used to assess the product characteristics to establish the product style evaluation database for simplifying the style presentation and decreasing the computational complexity. Thirdly, the model of product style feature set, extracted by FAHP and the final style related form features set, are acquired using LV. This research involves a case study for extracting the key form features of the style of high heel shoes. The proposed algorithms are generated by calculating the weights of each component of high heel shoes using FAHP with LV. The case study and results established that the proposed method is feasible and effective for extracting the style of the product

AN EXTENDED SINGLE-VALUED NEUTROSOPHIC AHP AND MULTIMOORA METHOD TO EVALUATE THE OPTIMAL TRAINING AIRCRAFT FOR FLIGHT TRAINING ORGANIZATIONS

Aircraft’s training is crucial for a flight training organization (FTO). Therefore, an important decision that these organizations should wisely consider the choice of aircraft to be bought among many alternatives. The criteria for evaluating the optimal training aircraft for FTOs are collected based on the survey approach. Single valued neutrosophic sets (SVNS) have the degree of truth, indeterminacy, and falsity membership functions and, as a special case, neutrosophic sets (NS) deal with inconsistent environments. In this regard, this study has extended a single-valued neutrosophic analytic hierarchy process (AHP) based on multi-objective optimization on the basis of ratio analysis plus a full multiplicative form (MULTIMOORA) to rank the training aircraft as the alternatives. Moreover, a sensitivity analysis is performed to demonstrate the stability of the developed method. Finally, a comparison between the results of the developed approach and the existing approaches for validating the developed approach is discussed. This analysis shows that the proposed approach is efficient and with the other methods

Selection method by fuzzy set theory and preference matrix

In fuzzy decision making problems, fuzzy ranking is one of the most preferred aeras. The aim of this paper to develop a new ranking method which is reliable and doesnot need tremendous arithmetic calculations. Also it can be used for all type of fuzzy numbers which are represented as crisp form or in linguistic form. Fuzzy multi criteria decision making commonly employs methods such as ordering method,Fuzzy Analytic Hierarchy Process [FAHP], Fuzzy Technique for Order Preference by Similarity to Ideal Solution [FTOPSIS]and hybrid method. The FAHP commonly uses triangular fuzzy numbers and trapezoidal fuzzy numbers while the FTOPSIS method identifies the best alternative as the one that is nearest to the positive ideal solution and farthest to the negative ideal solution. Although both these methods have been widely used, they have their drawbacks. The accuracy of these methods decreases as the number of alternative increases i.e. the more complex the problem, less the accuracy and all the methods have many computations. In order to overcome this problem, we propose a method which is a combination of method of Blin and Whinston(1973) and method of Shimura(1973). This way the advantages of both the methods may be utilized to arrive at a decision that involves vague data. In this  paper, we use the concept of preference matrix to find the membership grades and calculate the ranking. Keywords: Fuzzy set, preference matrix, multi person decision making, multi criteria decision making(MCDM), relativity function matrix

Combining Fuzzy AHP with GIS and Decision Rules for Industrial Site Selection

This study combines Fuzzy Analytic Hierarchy Process (FAHP), Geographic Information System (GIS) and Decision rules to provide decision makers with a ranking model for industrial sites in Algeria. A ranking of the suitable industrial areas is a crucial multi-criteria decision problem based on socio-economical and technical criteria as on environmental considerations. Fuzzy AHP is used for assessment of the candidate industrial sites by combining fuzzy set theory and analytic hierarchy process (AHP). The decision rule base serves as a filter that performs criteria pre-treatment involving a reduction of their numbers. GIS is used to overlay, generate criteria maps and for visualizing ranked zones on the map. The rank of a zone so obtained is an index that guides decision-makers to the best utilization of the zone in future