Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Assessing forest value with the eigenvector method (CROSBI ID 141800)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Šegotić, Ksenija ; Posavec, Stjepan Assessing forest value with the eigenvector method // Ekologia (Bratislava), 26 (2007), 4; 362-370

Podaci o odgovornosti

Šegotić, Ksenija ; Posavec, Stjepan

engleski

Assessing forest value with the eigenvector method

The objective of this paper is to test the possibility of applying multi-criteria programming as a decision-making tool for assessing the value of a management unit. A combined calculation method was used to determine the total value of the growing stock, forestland, non-wood forest functions, game management, forest roads and secondary forest products for the Management Unit "Gaj", Forest Office Našice. The proposed mathematical model can also be used to support an optimal decision-making process in forest management. Saaty's eigenvector method (AHP) was used. This method allows for the inclusion of a large set of complex factors influencing the basic evaluation purpose. The development of computer technology has played an important role in solving mathematical modelling problems by making it possible to develop and apply operational research. Expert Choice and Statistica 6.0 programmes were used. This paper is a contribution to the already broadly used modern methods of evaluating renewable natural resources and establishing scientific foundations for a suitable method of determining forest value.

dynamic model; total value; eigenvector method; forestry; economics

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

26 (4)

2007.

362-370

objavljeno

1335-342X

Povezanost rada

Šumarstvo

Indeksiranost