পদ্ধতির তুলনা করুন

	অ্যানালিটিক হায়ারার্কি প্রসেস	সর্বনিম্ন-ব্যয় পথ / ব্যয়-দূরত্ব বিশ্লেষণ	অবস্থান-বরাদ্দ মডেল	Ideal Solution-এর সঙ্গে সাদৃশ্যের ভিত্তিতে পছন্দের ক্রম নির্ণয়ের কৌশল
ক্ষেত্র	সিদ্ধান্ত গ্রহণ	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ	সিদ্ধান্ত গ্রহণ
পরিবার	MCDM	Process / pipeline	Process / pipeline	MCDM
উদ্ভবের বছর	1980	1994	1963	1981
প্রবর্তক	Saaty, T. L.	Edsger Dijkstra (shortest path); GIS cost-surface adaptation	Leon Cooper; S. L. Hakimi	Hwang, C. L., Yoon, K.
ধরন	Pairwise comparison (eigenvalue)	Raster cost-surface routing	Spatial facility-location optimization	Distance-based (compromise)
মৌলিক উৎস	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271.	Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343.	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag
অপর নাম	—	cost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol	facility location, p-median problem, maximal covering location problem, yer-tahsis modelleri	—
সম্পর্কিত	8	3	4	8
সারসংক্ষেপ	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.	Location-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population.	TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.