PMID- 35941257
OWN - NLM
STAT- MEDLINE
DCOM- 20220810
LR  - 20220825
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 194
IP  - 9
DP  - 2022 Aug 8
TI  - A comparative analysis of three multi-criteria decision-making methods for land 
      suitability assessment.
PG  - 657
LID - 10.1007/s10661-022-10259-6 [doi]
AB  - Natural resource management relies on identifying the ecological constraints, 
      assessing land suitability, and considering the socio-economic demands in the 
      region. However, in many developing countries, natural resources are extensively 
      overused in favor of economic growth. This is due to the fact that conservation 
      and natural constraints are not always taken into consideration during the 
      planning phase, especially when the decision-making process is mainly influenced 
      by political or economical views. To avoid these subjective plannings, 
      environmental planners are encouraged to consider quantitative planning 
      approaches that can integrate environmental, social, economic, and political 
      matters through a non-bias procedure. The present study, therefore, examines the 
      application of three multi-criteria decision-making methods (MCDM), namely, 
      analytic hierarchical process (AHP), fuzzy analytic hierarchical process (fuzzy 
      AHP), and technique for order of preference by similarity to ideal solution 
      (TOPSIS), for the assessment of land suitability afforestation. Siahpoosh 
      Watershed, in Iran, is used as a case study to compare three MCDM methods. To 
      achieve this, a set of land suitability criteria (i.e., slope, elevation, aspect, 
      soil texture, soil depth, drainage, erosion, temperature, rainfall, and 
      vegetation type and cover) was defined and weighted using the AHP and fuzzy AHP 
      methods. TOPSIS was then used to prioritize and rank the suitability of different 
      sections of the study area for afforestation. The study demonstrates that the 
      fuzzy AHP method combined with TOPSIS generates more reliable outcomes than the 
      AHP method. The results could be useful for making more informed decisions about 
      afforestation in the region.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
FAU - Rashidi, Farahnaz
AU  - Rashidi F
AD  - Research Institute of Forests and Rangelands, Agricultural Research, Education 
      and Extension Organization (AREEO), Tehran, Iran. Rashidi@rifr-ac.ir.
FAU - Sharifian, Shadi
AU  - Sharifian S
AD  - University of Payam Noor (PNU), Eastern Tehran, Tehran, Iran.
LA  - eng
PT  - Journal Article
DEP - 20220808
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
RN  - 0 (Soil)
SB  - IM
MH  - *Environmental Monitoring/methods
MH  - Iran
MH  - *Soil
OTO - NOTNLM
OT  - AHP
OT  - Afforestation
OT  - Buckley method
OT  - Fuzzy AHP
OT  - Multi-criteria decision-making
OT  - Siahpoosh Watershed
OT  - TOPSIS
EDAT- 2022/08/09 06:00
MHDA- 2022/08/11 06:00
CRDT- 2022/08/08 23:24
PHST- 2021/12/15 00:00 [received]
PHST- 2022/06/28 00:00 [accepted]
PHST- 2022/08/08 23:24 [entrez]
PHST- 2022/08/09 06:00 [pubmed]
PHST- 2022/08/11 06:00 [medline]
AID - 10.1007/s10661-022-10259-6 [pii]
AID - 10.1007/s10661-022-10259-6 [doi]
PST - epublish
SO  - Environ Monit Assess. 2022 Aug 8;194(9):657. doi: 10.1007/s10661-022-10259-6.