scholarly journals A New Approach For the Ranking of Fuzzy Sets With Different Heights

Author(s):  
Pushpinder Singh

Ranking of fuzzy sets plays an important role in decision making, optimization, forecasting, etc. Fuzzy sets must beranked before an action is taken by a decision maker. Fuzzy sets with different heights are a generalization of theordinary fuzzy sets. In this paper, with the help of several counterexamples, it is proved that the ranking methodproposed by Lee and Chen (Expert Systems with Applications 34, 2008, 2763-2771) is incorrect. The main aim of thispaper is to propose a new approach for the ranking of fuzzy sets with different heights. The main advantage of theproposed approach is that with it the correct ordering of fuzzy sets with different heights, and also the results of theproposed ranking method and the existing ranking method, can be compared.

Author(s):  
Bhagawati Prasad Joshi ◽  
Abhay Kumar

The fusion of multidimensional intuitionistic fuzzy information plays an important part in decision making processes under an intuitionistic fuzzy environment. In this chapter, it is observed that existing intuitionistic fuzzy Einstein hybrid aggregation operators do not follow the idempotency and boundedness. This leads to sometimes illogical and even absurd results to the decision maker. Hence, some new intuitionistic fuzzy Einstein hybrid aggregation operators such as the new intuitionistic fuzzy Einstein hybrid weighted averaging (IFEHWA) and the new intuitionistic fuzzy Einstein hybrid weighted geometric (IFEHWG) were developed. The new IFEHWA and IFEHWG operators can weigh the arguments as well as their ordered positions the same as the intuitionistic fuzzy Einstein hybrid aggregation operators do. Further, it is validated that the defined operators are idempotent, bounded, monotonic and commutative. Then, based on the developed approach, a multi-criteria decision-making (MCDM) procedure is given. Finally, a numerical example is conducted to demonstrate the proposed method effectively.


2000 ◽  
Vol 6 (4) ◽  
pp. 237-246 ◽  
Author(s):  
Paulius Gaučas ◽  
Edmundas Kazimieras Zavadskas

The task of decision-making in constructing industry becomes more difficult because of rapid technical upgrowth. According to aims, circumstances and opportunity decisions are determined. Disagreement situation arises at this point. Uprising opportunities and influence of circumstances of aims, they are often contradicting each other. Constructing a building, one must look for decision of more favourable conditions for situation and minimum expenditure, but to guarantee a high reliability, so disagreement situation arises. Exacting requirements of quality logically are bound up with expensive realisation [4]. Decision must be optimum and as much as possible satisfy “goodness” indications of decision. However, “goodness” valuation is indefinite conception and disobeys black-and-white logic [Zadeh]. In this case one can understand decision like a conflict in the game theory, where the information is not always defined. To solve the problem the fuzzy sets theory can be used. Using the game theory, elements can be formulated indefinitely and a new model can be made [3]. Trying to estimate the aims of conflicts, the circumstances that influence the decision are divided into two groups. The first group—circumstances of inherent influence—defines what a decision-maker must attain (for example, to maximise quality) and describes strategy of the first player. The second group—circumstances of outward influence—defines what a decision-maker must estimate as a limitation (for example, to minimise price) and describes strategy of the second player. Dependence between inherent and outward circumstances in this step is formed. There is no clear limit in fuzzy sets theory between dependence (circumstance 1) and independence (circumstance 0) of elements on definite set. Dependence degree of element x on A set, is described by μ A (x) function (1), (2). The valuation in fuzzy sets theory takes place at three levels. At the first level meanings of dependence on inherent circumstances are calculated (1), (2), and matrix is determined (Fig 2). According to formula (3), dependence degree on each alternative is calculated. In the second level meanings of dependence on outward circumstances are calculated according to the formula (1), (2) and the matrix is filled in (Fig 3). At the third level the results of first two levels are summed. Using operator of minimum general matrix of decisions-making is determined (Fig 4), According to the general matrix, the indefinite matrix of decision-making is determined (Fig 5). Minimax principle makes the decision. The received result is optimal, because it satisfies the aim causing the conflict. In the paper, the example of a private house is selected, using the described method. This method may be used to make decisions, when the task is of conflicting character. Competently distributing circumstances of influence or parameters of valuation by two aspects (inherent and outward) it can be explained the mean of conflicting character, and interpretation using the described method can be made.


2018 ◽  
Vol 16 (2) ◽  
pp. 171 ◽  
Author(s):  
Dragan Pamučar ◽  
Darko Božanić ◽  
Vesko Lukovac ◽  
Nenad Komazec

This paper presents a new approach to the treatment of uncertainty and imprecision in multi-criteria decision-making based on interval rough numbers (IRN). The IRN-based approach provides decision-making using only internal knowledge for the data and operational information of a decision-maker. A new normalized weighted geometric Bonferroni mean operator is developed on the basis of the IRN for the aggregation of the IRN (IRNWGBM). Testing of the IRNWGBM operator is performed through the application in a hybrid IR-DEMATEL-COPRAS multi-criteria model which is tested on real case of selection of optimal direction for the creation of a temporary military route. The first part of hybrid model is the IRN DEMATEL model, which provides objective expert evaluation of criteria under the conditions of uncertainty and imprecision. In the second part of the model, the evaluation is carried out using the new interval rough COPRAS technique.


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