Abstract
Spherical hesitant fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture hesitant fuzzy sets and Pythagorean hesitant fuzzy sets in order to deal with uncertainty and fuzziness information. Technique of Aggregation is one of the beneficial tools to aggregate the information. It has many crucial application areas such as decision-making, data mining, medical diagnosis, and pattern recognition. Keeping in view the importance of logarithmic function and aggregation operators, we proposed a novel algorithm to tackle the multi-attribute decision-making (MADM) problems. First, novel logarithmic operational laws are developed based on the logarithmic, t-norm, and t-conorm functions. Using these operational laws, we developed a list of logarithmic spherical hesitant fuzzy weighted averaging/geometric aggregation operators to aggregate the spherical hesitant fuzzy information. Furthermore, we developed the spherical hesitant fuzzy entropy to determine the unknown attribute weight information. Finally, the design principles for the spherical hesitant fuzzy decision-making have been developed, and a practical case study of hotel recommendation based on the online consumer reviews has been taken to illustrate the validity and superiority of presented approach. Besides this, a validity test is conducted to reveal the advantages and effectiveness of developed approach. Results indicate that the proposed method is suitable and effective for the decision process to evaluate their best alternative.
Highlights
Suppose you are looking forward to visiting any city for a while and need to book a hotel
Motivated by the concept of Spherical hesitant fuzzy sets (SHFSs), in this paper, we developed the novel aggregation operators based on the logarithmic function
This study introduces a comprehensive model for supporting decisions that uses social information to help independent tourists find satisfactory hotels on TripAdvisor.com
Summary
Suppose you are looking forward to visiting any city for a while and need to book a hotel. You may be able to ask your friends, go to a travel agency, or search the Internet. All of these techniques have one thing in common: people always follow the advice of others when making decisions [1]. It is generally accepted that social networking has the potential to influence consumer purchasing decisions, both positively and negatively. Contact with social networking has been a concern for marketing staff for some time [2,3]. The Internet makes it easy for consumers to share their own view of the hotel they once stayed in. Consumers normally examine the hotel on the travel website to make a comparison. Online reviews are increasingly becoming the reference information that consumers can search before making decisions, playing a key role in consumer decision-making
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