Abstract
The primary aim of the study is to introduce APLOCO method which is developed for the solution of multicriteria decision making problems both theoretically and practically. In this context, application subject of APLACO constitutes evaluation of investment potential of different cities in metropolitan status in Turkey. The secondary purpose of the study is to identify the independent variables affecting the factories in the operating phase and to estimate the effect levels of independent variables on the dependent variable in the organized industrial zones (OIZs), whose mission is to reduce regional development disparities and to mobilize local production dynamics. For this purpose, the effect levels of independent variables on dependent variables have been determined using the multilayer perceptron (MLP) method, which has a wide use in artificial neural networks (ANNs). The effect levels derived from MLP have been then used as the weight levels of the decision criteria in APLOCO. The independent variables included in MLP are also used as the decision criteria in APLOCO. According to the results obtained from APLOCO, Istanbul city is the best alternative in term of the investment potential and other alternatives are Manisa, Denizli, Izmir, Kocaeli, Bursa, Ankara, Adana, and Antalya, respectively. Although APLOCO is used to solve the ranking problem in order to show application process in the paper, it can be employed easily in the solution of classification and selection problems. On the other hand, the study also shows a rare example of the nested usage of APLOCO which is one of the methods of operation research as well as MLP used in determination of weights.
Highlights
Decision making is the process of determining the best alternative on the basis of multiple criteria and taking into account the decision-makers’ preferences
Nine different provinces in metropolitan status have been evaluated by approach of logarithmic concept (APLOCO) in terms of the investment potential based on the variables affecting factories in operation phase in organized industrial zones (OIZs)
The variables affecting the factories at the operational phase in the OIZs and the importance levels of these variables are determined by multilayer perceptron (MLP) which is one of the artificial neural network methods
Summary
Decision making is the process of determining the best alternative on the basis of multiple criteria and taking into account the decision-makers’ preferences. The process consists of four stages extensively; (1) determining the problem (2) introducing alternatives, (3) evaluating alternatives, and (4) identifying the best alternative [1]. Multi criteria decision analysis (MCDA) covering methods that are used to support the process of decision making deals with alternatives in both a flexible manner and an understandable structure. By considering multiple criteria [2] These methods are a branch of operations research containing mathematical tools that support the process of decision making [3]. At the same time, using these techniques, it can be to determine the best alternative, to rank alternatives, to reduce number of alternatives [6]. The techniques are being utilized progressively in the assessment of alternatives and comparative analysis [7]
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