{'fraction_non_alphanumeric': 0.021760633036597428, 'fraction_numerical': 0.0, 'mean_word_length': 5.170731707317073, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Evaluating E-commerce Design Platforms by a Fuzzy VIKOR Approach

E-commerce has a significant growth rate in recent years. As a result, the demand of designing E-commerce websites is also increasing at the high pace. Hence, choosing E-commerce design platforms is crucial important. However, selecting an appropriate platform is definitely a complicated task. Fuzzy based approaches are suitable methods for handling these vague decision situations. In this paper, we apply fuzzy VIKOR approach to evaluate and choose the suitable E-commerce design platforms. Fuzzy VIKOR method can solve uncertainties in this issue by using fuzzy linguistic variables to rank platforms. Fuzzy VIKOR method is a famous multi-criteria decision making technique which computes the difference between ideal and anti-ideal alternatives. A numerical simulation is conducted to demonstrate the process the proposed method. The results of this study can assist companies in selecting the suitable E-commerce website design platforms.