Examples of criteria you might be considering:
Price
Speed *
Storage
Battery
Screen
Rent
Location *
Transportation
Food
Note that some criteria are not specific enough and should be split up into multiple criteria. For example, what does ‘speed’ mean for a laptop? How can it be quantitatively (numerically) measured? While ‘speed’ is a qualitative (‘fast’ vs ‘slow’) measure, splitting it into more quantitative measures like ‘CPU’, ‘RAM’, ‘GPU’ makes analysis easier.
The location of an accommodation might seem like one criteria, but there might in fact be competing facts behind. For example, one location might be close to downtown with lots of dining and shopping opportunities, but not close to work or school. One location might be close to core transportation links but is in a pretty rural area. By splitting up the ‘location’ criteria, you make analysis finer and more precise.
This API
Springer (2007) 1
Chen (2000) 2
Lourenzutti et al. (2016) 3
Park et al. (2011) 4
Devi (2011) 5
Choices
Alternatives
Criteria
Attributes
Ratings
Measures
Weights
(2007) Introduction to Multiple Attribute Decision-making (MADM) Methods. In: Decision Making in the Manufacturing Environment. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84628-819-7_3
Chen CT (2000) Extension of the TOPSIS for group decision making under fuzzy environment. Fuzzy Sets and Systems 114:1–9. https://doi.org/10.1016/S0165-0114(97)00377-1
Lourenzutti R., Krohling R.A. (2016). A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment. Information Sciences, Volume 330, Pages 1-18. https://doi.org/10.1016/j.ins.2015.10.005.
Jin Han Park, Il Young Park, Young Chel Kwun, Xuegong Tan (2011). Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment. Applied Mathematical Modelling, Volume 35, Issue 5, Pages 2544-2556. https://doi.org/10.1016/j.apm.2010.11.025.
Kavita Devi (2011). Extension of VIKOR method in intuitionistic fuzzy environment for robot selection. Expert Systems with Applications, Volume 38, Issue 11, Pages 14163-14168. https://doi.org/10.1016/j.eswa.2011.04.227.